Unit 3 Module Resumen 4
Unit 3 Module Resumen 4
NEUROLINGUISTIC RESEARCH 
AND FOREIGN LANGUAGE TEACHING 
 
 
 
 
 
 
 
 
 
1. Introduction 
2. Practical Assignment 3 
3. Readings 
1 
UNIT 3 
 
NEUROLINGUISTIC RESEARCH 
AND FOREIGN LANGUAGE TEACHING 
 
 
 
INTRODUCTION 
 
 
Good foreign language teachers have long had really good intuition about how to teach 
foreign languages, and they have already been doing it successfully  for decades before 
the birth of neuroeducation. Now we can show from neurocognitive evidence  why they 
have doing it the right way. They have intuitively already found the way to do it well, 
for example, by using constant repetition drills, giving students frames in which you 
substitute words, applying real-life contexts all these things make the learning process 
easier in the brain, but teachers already know that. 
 
More  and  more  evidence  shows  that  it  is  easier  for  younger  brains,  which  have 
greater  plasticity,  and  therefore  its  easier  for  them  to  make  new  connections  and  to 
strengthen  existing  connections.  Yet,  people  already  knew  that  the  earlier  you  start 
instruction in a foreign language, the  easier it will be for a child to learn  the language. 
Some  of  the  insights  from  neurolinguistics  have  already  been  picked  up  by  language 
teachers from other sources sometimes, just from their experience. 
 
However,  confirming  past  knowledge  is  not  the  only  thing  that  neuroeducation 
can  offer  to  educational  researchers.  Brain  research  can  also  show  the  weak  points  of 
traditional  teaching  methodologies  and  techniques,  while  suggesting  new  ways  to 
remedy such long-existing shortcomings. 
 
Yvonne  Kane
1
  has  written  an  article  pointing  in  this  direction.  Below  is  an 
excerpt from it. 
 
 
                                                     
1
 This excerpt was taken from the article found at:  http://www.examiner.com/article/jhu-neuroeducation-
translates-brain-research-into-practical-teaching. 
2 
Brain research and  education  go  hand  and  hand.  The  field  of  neuroeducation  connects 
the  neuroscientist  who  studies  brain  research  with  the  educator  who  hopes  to  use  research  to 
improve teaching techniques.  Neuroeducation  is  the  place  where  scientific  research  translates 
into teaching practicality. 
 
An  educators  understanding  of  how  the  brain  operates  while  learning  is  extremely 
important  to the  field  of  education.  In  the  past, research  concluded that  with the  exceptions  of 
old  age,  brain  damage  or  disease  the  brain  was  not  able  to  change  after  birth.  Neuroscientists 
today  understand  the  brain  has  the  ability  to  change  and  grow  over  time  with  experiences, 
repetition,  and  practice.  The  brain  is  even  able  to  create  new  cells  in  certain  regions.  This  is 
described as plasticity. This is a profound discovery for the educator because it eliminates the 
idea  that a  child that is labeled Special Ed  will have  a life sentence.  Instead, a new teaching 
method  may be the key that sets them free. The teacher that has an understanding of plasticity 
will not categorize student learning capacity, but has a wider view of the learner. This educator 
will  change  the  childs  experiences,  and  knows  that  with  practice  or  remedial  lessons  it  is 
possible for the child to get a fuller understanding of the concept. 
 
According  to  Mariale  Hardiman,  Ed.D.,  and  Martha  Bridge  Denckla,  M.D.  in  their 
article The  Science  of  Education,Findings  suggest  that  ADHD  symptoms  may  represent 
developmental  delay  rather  than  damage  in  the  brain,  and  that  any  neural  circuitry  with  such 
protracted  development  may  be  exquisitely  sensitive  to  environmental  and  experiential 
influences,  which  may  even  alter  brain  structures.  Teachers  who  are  aware  of  these  findings 
may  change  the  climate  of  their  classroom.  For  instance,  some  ADHD  students  may  not 
function well in a classroom environment where visual aids are all consuming. In addition, these 
students may be kinesthetic learners, meaning they have a fuller learning experience when they 
are given the opportunity to physically carry out the activity rather than listening to a lecture. 
 
Children benefit when teachers are educated in the field of brain research. It changes the 
educators perspective of the learner, and stresses the demand for new teaching methods. 
 
 
However  helpful  brain  research  is,  it  is  useless  on  its  own. What  it  can  do  is  empower 
teachers to do their job  better.  There is a very interesting  experiment that was done by 
Susan  Ervin  at  the  University  of  California,  Berkeley.  They  decided  to  test  different 
methods of language teaching. They used three different methods, and they had several 
different  language  teachers  some  were  graduate  students  in  linguistics.  The  teachers 
3 
had  to  teach  different  groups  for  a  period  of  about  eight  to  twelve  weeks,  using  these 
different methods. At the end of the experiment, the researchers found that the teaching 
methods  made  no  significant  difference  in  the  students  results,  but  when  they 
correlated the results with the teachers, they found that good teachers were getting good 
results no matter which method they used. It was the teacher who made the difference. 
 
 
This  unit  is  intended  to  have  you  reflect  on  the  potential  applications  of 
neuroeducation  and  neurolinguistics  to  foreign  language  teaching.  You  will  have  a 
chance  to  critically  analyze  some  concrete  pedagogical  recommendations  and  rely  on 
your  previous  readings  to  formulate  some  of  your  own.  Your  goal  is  to  be  able  to 
complete  Practical  Assignment  3  (see  below).  Make  sure  you  read  the  questions  in  it 
before you start reading the materials, so as to know what to focus on. 
 
It is recommended that you read the materials in the following order: 
 
[1]  Dickinson,  Dee  (2000).  Questions  to  Neuroscientists  from  Educators.  Online  at: 
http://education.jhu.edu/newhorizons/Neurosciences/articles/Questions%20to%20Neuroscientist
s%20from%20Educators/index.html. Last access: 06/09/2012. 
[2]  Scovel,  Thomas  (1982).  Questions  Concerning  the  Application  of  Neurolinguistic  Research  to 
Second Language Learning/Teaching. TESOL Quarterly 16(3), 323-331. 
[3]  Lamendella,  John  T.  (1979).  The  Neurofunctional  Basis  of  Pattern  Practice.  TESOL  Quarterly 
13(1), 5-19. 
[4]  Paradis,  Michel  (2009b).  Ultimate  attainment  in  L2  proficiency.  Chapter  4  of  Declarative  and 
Procedural  Determinants  of  Second  Languages,  110-136.  Amsterdam/Philadelphia:  John 
Benjamins. 
[5] Kuhl, Patricia K. (2010). Brain Mechanisms in Early Language Acquisition. Neuron 67, 713-727. 
[6] Ullman, Michael T. (2005). A Cognitive Neuroscience Perspective on Second Language Acquisition: 
The  Declarative/Procedural  Model.  In  C.  Sanz  (ed.), Mind  and  Context  in  Adult  Second 
Language  Acquisition:  Methods, Theory, and Practice,  141-178. Washington, DC: Georgetown 
University Press. 
[7]  Netten,  Joan  and  Claude  Germain  (2012).  A  new  paradigm  for  the  learning  of  a  second  or  foreign 
language: The neurolinguistic approach. Neuroeducation 1(1), 85-114. 
 
 
If  you  feel  you  need  more  information  on  neuroanatomy  or  neuroimaging  techniques, 
you may read the following texts included in the Appendix 
 
Lamb, Sydney (2011). El cerebro humano. Chapter 16 of Senderos del cerebro: La base neurocognitiva 
del lenguaje (translated by Jos Mara Gil and Adolfo Martn Garca). Mar del Plata: EUDEM. 
Rodden,  Frank  A.  and  Stemmer,  Brigitte  (2008).  A  Brief  Introduction  to  Common  Neuroimaging 
Techniques. In Brigitte  Stemmer and Harry  A. Whitaker (eds),  Handbook of the  Neuroscience 
of Language, 57-67. London: Elsevier. 
 
Feel free to work in groups if you find it beneficial. Good luck! 
4 
PRACTICAL ASSIGNMENT 3 
 
 
On the basis of the readings assigned for Unit 3, do the following activities. 
 
 
PA3: ACTIVITY 1 
 
Scovel  (1982)  raises  serious  questions  about  the  pedagogical  relevance  of  neurolinguistic 
research.  On  the  other  hand,  Lamendella  (1979)  uses  neuroscientific  data  to  reflect  upon  the 
limitations  of  pattern-practice  drills  in  the  L2  class.  In  your  opinion,  do  Scovels  arguments 
invalidate  Lamendellas  reasoning,  or  does  Lamdendellas  paper  show  the  inaccuracy  of 
Scovels criticism? State your answer IN NO MORE THAN 600 WORDS. 
 
 
Cortical  stimulation,  introduced  in  the  1950s,  may  be  considered  one  of  the  earlier 
brainimaging techniques in that investigators are able to employ it to map a patients language 
area. This technique is used primarily for patients who are preparing to undergo surgery 
for intractable epilepsy, in order to determine the brain regions involved in speech and other 
cortical functions. Since the brain has no pain receptors, the patient remains conscious 
as the surgeon opens the cranium and electrically stimulates areas of the cortex. Small voltages 
applied to the language area have typically caused patients to become temporarily 
incapable of naming items. 
Cortical  stimulation,  introduced  in  the  1950s,  may  be  considered  one  of  the  earlier 
brainimaging techniques in that investigators are able to employ it to map a patients language 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
area. This technique is used primarily for patients who are preparing to undergo surgery 
for intractable epilepsy, in order to determine the brain regions involved in speech and other 
cortical functions. Since the brain has no pain receptors, the patient remains conscious 
as the surgeon opens the cranium and electrically stimulates areas of the cortex. Small voltages 
applied to the language area have typically caused patients to become temporarily 
incapable of naming items. 
Cortical  stimulation,  introduced  in  the  1950s,  may  be  considered  one  of  the  earlier 
brainimaging techniques in that investigators are able to employ it to map a patients language 
area. This technique is used primarily for patients who are preparing to undergo surgery 
for intractable epilepsy, in order to determine the brain regions involved in speech and other 
cortical functions. Since the brain has no pain receptors, the patient remains conscious 
as the surgeon opens the cranium and electrically stimulates areas of the cortex. Small vol 
5 
PA3: ACTIVITY 2 
 
Choose ONE, AND ONLY ONE, of the following texts: 
 
 
(a)  Ultimate attainment in L2 proficiency (Paradis, 2009b). 
(b)  Brain Mechanisms in Early Language Acquisition (Kuhl, 2010). 
(c) 
          
A  Cognitive  Neuroscience  Perspective  on  Second  Language 
Acquisition: The Declarative/Procedural Model (Ullman, 2005). 
 
 
Now, analyze it thoroughly and complete the following table: 
 
 
TEXT 
CHOSEN 
 
 
 
 
RESEARCH TOPIC 
ADDRESSED 
 
 
 
 
MAIN 
HYPOTHESES 
 
 
 
 
 
 
SOURCE(S) 
OF EVIDENCE 
CONSIDERED 
 
 
 
 
 
MAIN 
CONCLUSION(S) 
 
 
 
 
 
 
PEDAGOGICAL 
IMPLICATIONS FOR THE 
L2 CLASSROOM (THESE 
ARE NOT INCLUDED 
IN THE TEXTS; YOU 
MUST PROPOSE AND 
ELABORATE THEM 
YOURSELF) 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6 
PA3: ACTIVITY 3 
 
Based on their appraisal of foreign language teaching in the Canadian school system, Netten and 
Germain (2012) propose and characterize five principles of the neurolinguistic approach (NLA) 
to  second-language  learning.  Consider  your  experience  as  a  student,  teacher,  and/or  parent  in 
Argentina  and  answer  the  following  question  IN  NO  MORE  THAN  600  WORDS:  Are  those 
principles applicable to the current educational scenario in our country? 
 
 
Cortical  stimulation,  introduced  in  the  1950s,  may  be  considered  one  of  the  earlier 
brainimaging techniques in that investigators are able to employ it to map a patients language 
area. This technique is used primarily for patients who are preparing to undergo surgery 
for intractable epilepsy, in order to determine the brain regions involved in speech and other 
cortical functions. Since the brain has no pain receptors, the patient remains conscious 
as the surgeon opens the cranium and electrically stimulates areas of the cortex. Small voltages 
applied to the language area have typically caused patients to become temporarily 
incapable of naming items. 
Cortical  stimulation,  introduced  in  the  1950s,  may  be  considered  one  of  the  earlier 
brainimaging techniques in that investigators are able to employ it to map a patients language 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
area. This technique is used primarily for patients who are preparing to undergo surgery 
for intractable epilepsy, in order to determine the brain regions involved in speech and other 
cortical functions. Since the brain has no pain receptors, the patient remains conscious 
as the surgeon opens the cranium and electrically stimulates areas of the cortex. Small voltages 
applied to the language area have typically caused patients to become temporarily 
incapable of naming items. 
Cortical  stimulation,  introduced  in  the  1950s,  may  be  considered  one  of  the  earlier 
brainimaging techniques in that investigators are able to employ it to map a patients language 
area. This technique is used primarily for patients who are preparing to undergo surgery 
for intractable epilepsy, in order to determine the brain regions involved in speech and other 
cortical functions. Since the brain has no pain receptors, the patient remains conscious 
as the surgeon opens the cranium and electrically stimulates areas of the cortex. Small vol 
 
 
 
 
 
 
QUESTIONS TO NEUROSCIENTISTS 
FROM EDUCATORS 
 
1 
 
Questions to Neuroscientists from Educators 
 
Prepared for the Krasnough Institute, George Mason University 
by Dee Dickinson 
 
Never has there been a time of greater challenge for education, and never has 
there  been  such  an  opportunity  to  rethink  the  whole  process.  Educators, 
parents,  business  people,  and  other  members  of  the  community  are  asking 
fundamental questions such as, What do students need to know and be able to 
do  when  they  graduate?  What  are  the  essential  academic  learning 
requirements for today and tomorrow? What kinds of environments, curriculum, 
and educational strategies are appropriate to prepare students for a future that 
can  hardly  be  imagined?  How  do  we  reach  and  teach  students  from  different 
cultural,  social,  economic,  and  educational  backgrounds--and  who  have,  as  a 
result,  very  different  ways  of  learning?  How  can  we  help  students  to  master 
basic  skills  and  information,  develop  understanding  and  knowledge,  and  learn 
to  apply  what  they  have  learned  in  contexts  outside  the  classroom?  How  can 
we  help  them  to  develop  the  flexible  minds  and  higher  order  thinking  skills  to 
live in our rapidly changing world? 
Although  brain  research  has  been  contributing  valuable  information  related  to 
learning  since  the  pioneering  work  of  Broca  in  the  1800's,  it  wasn't  until  the 
1970's that many educators began to see applications to their work. The earlier 
pioneering  split-brain  research  of  Sperry  and  Bogan  offered  new  insights  into 
individual  differences  in  learning.  Many  educators  found  in  these  studies 
validation for what they had always intuitively felt about using different kinds of 
teaching and learning strategies to reach different kinds of learners. 
Very soon, however, in educational circles brain research became equated with 
left brain/right brain theory, and the interpretation and practice went far beyond 
what  the  original  research  indicated.  Few  consultants  or  educators  worked 
directly with neuroscientists on how this information might best be applied. 
Brain  research  so  far,  as  previously  noted,  has  most  often  been  used  by 
educators to make a case for what they would like to do or are already doing. It 
is  high  time  for  educators  to  ask  neuroscientists  for  information  that  can  help 
them to better understand their students and the learning process. The Krasnow 
Institute  is  offering  a  wonderful  opportunity  to  do  so.  We  desperately  need 
guidance in meeting many new kinds of challenges, and need to make sure we 
do  not misinterpret  the  findings  or  apply  them  inappropriately.  It  would  also  be 
helpful  if  neuroscientists  in  partnership  with  teachers  could  observe  firsthand 
how  their  the  results  of  their  studies  affect  educational  planning  and  practice. 
Although  help  regarding  pressing  problems  must  clearly  come  from  many 
different sources, what guidance do you think brain research may offer brain in 
regard to the following specific challenges? 
2 
 
1. Much information is now available about the plasticity of the human brain and 
the  modifiability  of  intelligence,  but  traditional  I.Q.  testing  is  still  rampant.  We 
need  new  ways  of  assessing  both  potential  and  learning  achievement.  If 
brain/mind  research  suggests  that  "everyone  can  learn"  then  we  need  to 
understand how to create environments and use strategies and tools that make 
this possible. 
What  clues  does  brain  research  offer  to  assess  potential  more  effectively?  Is 
"evoked  potential"  through  the  use  of  new  technologies  a  useful  tool  for 
educators?  What  are  the  most  important  factors  to  consider  in  developing  the 
fullest possible potential of students? 
2.  There  is  currently  a  great  deal  of  controversy  over  different  educational 
philosophies  such  as  direct  instruction,  which  involves  much  drill  and  practice 
with  the  teacher  and  textbooks  as  primary  sources  of  knowledge,  and 
constructivist learning,  which engages the students in actively seeking out and 
discovering knowledge from many different sources with the teacher as learning 
facilitator.  Cross  cultural  studies  are  also  being  done  on  these  different 
approaches. 
What  can  brain  studies  show  us  about  the  difference  between  students  in 
settings focused on listening, reading, and drill and those who are more actively 
engaged in multisensory, constructivist learning? Are there brain studies of both 
approaches that show structural and functional change over time? What parts of 
the brain are most actively involved in the different approaches? Can a case be 
made for both methods used for different purposes in an appropriate balance? 
3. In most school systems today there is a push for higher standards, but there 
is not always an accompanying effort to equip both students and teachers with 
the skills to meet them. 
What effect does this have on the human brain, especially in regard to emotion 
and  cognition?  What  recommendations  would  you  make  to  school  districts 
regarding the scaffolding of learning? From a neurological perspective, what are 
the most important tools and strategies to help students succeed at learning? 
4.  In  1990  the  Individuals  with  Disabilities  Act  (IDEA)  guaranteed  that  children 
receiving special education will  receive "free and appropriate public education" 
in  the  "least  restrictive  environment."  The  law  was  created  to  ensure  that 
children have unimpeded and supported opportunities to participate in activities 
and  belong  in  peer  groups  and  still  receive  the  individualized  attention  they 
need  to  acquire  developmental  skills.  At  the  present  time  many  teachers  in 
regular classrooms do not have the skills or training to deal with the challenges 
presented by some of these disabled students, and they do not have access to 
the support services they need. Many special education teachers as well need 
new understandings and new skills. 
What  are  the  most  important  brain  studies  underway  regarding  Learning 
Disabled,  Behaviorally  Disabled,  and  Attentional  Deficit  Disordered  students? 
Can  we  utilize  that  information  to  scaffold  their  learning  through  their  existing 
3 
 
strengths? What are  the  long-range  effects of  medications  such as  Ritalin  and 
Prozac?  Are  there  appropriate  alternatives?  What  about  the  use  of 
biofeedback?  What  is  the  current  research  on  the  effects  of  chemical  food 
additives and pollutants in connection with learning problems? As the new IDEA 
guidelines  take effect, what  help  can  neuroscientists  offer  teachers  in  terms  of 
realistic expectations for their students and the means to help them meet these 
expectations? 
5.  There  are  now  numbers  of  elementary  age  children  who  were  born  of 
mothers  abusing  drugs,  nicotine,  and  alcohol.  There  is  also  the  well  known 
problem that kids are abusing these substances, even at the elementary  level. 
Many  of  these  children  do  not  respond  to  traditional  educational  methods  and 
teachers are desperate for information that will help them and their students. 
What does research on these children indicate about why they do not respond 
to  many  traditional  methods?  Can  brain  studies  give  educators  some  clues 
about helping them to learn? In addition to "just saying no," from a neurological 
perspective  what  are  the  most  effective  ways  to  deter  children  and  potential 
parents from substance abuse? 
6.  Today  many  children  are  spending  inordinate  amounts  of  their  free  time 
watching  television  or  playing  computer  games--frequently  five  or  six  hours  a 
day.  Teachers  are  observing  the  negative  effects  on  their  cognitive,  physical, 
and emotional development, as well as their interpersonal skills. 
Do  brain  studies  suggest  a  link  between  the  massive  use  of  multimedia 
technology  and  short  attention  spans  and  inability  to  focus  attention?  What 
happens in the brain when conversation is limited, and when much time is spent 
in passive, silent viewing? What effect do you think the new television programs 
for  babies  will  have  on  their  development?  What  are  the  implications  for  the 
appropriate use of these powerful tools? 
7.  Violent  behavior  in  schools  is  a  growing  problem.  Clearly  there  are  many 
reasons  among  which  are  environmental  and  social  factors,  but  evidence  is 
piling  up  that  watching  violent  TV  programs  may  cause  violent  behavior  in 
students  who  are  unstable  or  already  prone  to  violence.  What  happens 
chemically  and  functionally  in  various  parts  of  the  brain  during  the  watching  of 
violent  films,  playing  of  violent  computer  games,  and  interacting  with  violent 
websites?  What  are  some  of  the  reasons  that  the  brain  becomes  addicted  to 
these  technologies?  How  best  should  this  information  be  communicated  to 
parents, teachers, and students? How can the creators and producers of these 
technologies  be  convinced  to  take  responsibility  for  the  effects  of  their 
products? 
8. In a recent article by Robert Sternberg, Yale psychologist, he  points out that 
the  average  intelligence  of  each  generation  is  rising,  not  only  as  measured  by 
I.Q.  tests,  but  also  by  observing  behavior.  He  suggests  that  one  explanation 
may lie in the tools we use, especially new technologies. 
4 
 
Are  there  ways  to  assess  improved  brain  function  and  higher  order  thinking 
skills  as  a  result  of  using  intellectually  challenging  technologies  in  appropriate 
ways? (For example using the Internet or playing Tetris, Lego Logo, or Sierra's 
Dr.  Brain  games.)  Are  there  any  studies  that  show  ongoing  improvement  over 
time? Is there yet a consensus on appropriate age levels and amounts of time 
for use? 
9.  At  Children's  Hospital  in  Tokyo,  Virtual  Reality  is  being  used  to  scaffold  the 
learning  of  developmentally  delayed  or  disabled  children.  VR  is  already  being 
used  successfully  with  adults  in  such  areas  as  training  of  airline  pilots,  space 
travelers,  surgeons,  and  mechanics.  It  is  still  costly,  but  as  the  costs  of 
technology come down possibilities may appear for use in schools, for example 
in  performing  lab  experiments  that  might  require  expensive  equipment  or  that 
might be dangerous. 
What is the role of virtual reality in education for better or for worse? How does 
the  brain  respond  differently  to  real  and  virtual  experiences?  Is  it  important  to 
suggest guidelines soon before they are being used in schools? 
10.  Drs.  Henrietta  and  Alan  Leiner  have  produced  interesting  research  on  the 
cerebellum through using MRIs Their work reveals unexpected and widespread 
connections  from  the  cerebellum  to  the  prefrontal  cortex  and  limbic  system. 
Their  research  shows  that  it  can  perform  not  only  motor  but  also  mental 
functions  and  timing  functions.  They  say  that  "to  the  extent  that  an  individual 
can  learn  to  perform  some  mental  skills  without  conscious  attention,  the 
conscious  part  of  the  brain  is  freed  to  attend  to  other  mental  activities,  thus 
enlarging  its  cognitive  scope.  How  the  cerebellum  contributes  to  this  cognitive 
advantage  is  well  worth  investigating,  particularly  because  this  may  help  to 
clarify how language was able to evolve in our species." 
What  are  the  implications  of  these  studies  for  the  development  of  basic  skills 
and  for  second  language  acquisition,  which  is  of  growing  importance  in  our 
schools?  Are  there  neurological  studies  that  show  that  skill  and  practice  are 
more  successful  when  tied  to  emotion  and  higher  order  thinking  skills?  Does 
this  research  support  the  use  of  accelerative  learning  techniques,  including 
music, dance, drama, and the graphic arts? Does the Leiners' research explain 
the neurophysiology of "flow states?" Does it increase our understanding of how 
to improve not only skill memory but verbal and visual memory? Does it explain 
the  capacity  of  the  brain  to  do  multitasking  activities?  What  is  consciousness, 
and  what  are  the  brain  mechanisms  that  are  used  in  memorizing,  thinking, 
problem-solving,  imagining,  creating,  and  inventing  using  words,  numbers, 
images, and physical activity? 
11.  There  has  been  a  great  deal  of  emphasis  on  the  prenatal  and  early 
childhood  periods  of  brain  development,  including  "windows  of  opportunity." 
There is much information now available through all the media for parents and 
teachers  on  the  effects  of  nutrition  and  how  to  create  environments  that  are 
positive,  stimulating,  and  nurturing  for  the  young  child.  Less  information  is 
available  regarding  the  dramatic  changes  that  occur  in  adolescence.  Some 
years ago Herman Epstein studied brain-growth spurts and plateau periods. He 
5 
 
suggested  that  periods  of  rapid  brain  growth  are  the  times  for  intellectually 
challenging  curriculum,  and  that  plateau  periods,  such  as  in  adolescence,  are 
the times for more concrete, experiential learning rather than pushing students 
too  soon  into  abstract  thinking.  Although  the  studies  lost  favor  because  of  his 
research methods, most middle school teachers recognized in their students the 
characteristics  he  described.  Also  in  some  cases,  the  studies  were 
inappropriately  applied  by  watering  down  the  curriculum  and  lowering 
expectations with poor results and many protests from parents. 
With the current crises in many junior high and middle schools, is this the time 
to  revisit  studies  of  the  adolescent  brain  using  the  new  technologies  that  are 
now  available?  What  are  some  implications  for  helping  adolescents  to  learn 
effectively  during  this  stressful  and  confusing  period?  What  role  does  emotion 
play  in  their  behavior?  What  does  new  research  tell  us  about  changes  in  the 
biological clock and physical needs for more sleep? How can these studies be 
used appropriately in educational planning and practice? 
12.  In  the  last  few  years  newspapers,  magazines,  television,  and  radio  have 
announced  the  latest  information  about  the  brain  in  piecemeal  fashion. 
Numbers  of  new  books,  however,  have  been  attempting  to  integrate  some  of 
this  information  and  discuss  its  relevance  to  education.  Unfortunately,  many 
schools  of  education  and  staff  development  programs  are  not  keeping  up  with 
research  from  the  neurosciences,  discussing  the  implications  of  new 
information, and sharing it with their students. 
What is the most effective way to generate principles to apply to education, and 
communicate these even more broadly? Is there now an opportunity for medical 
schools and university science and education departments to collaborate more 
effectively with each other and with k-12 educators? 
Given  what  you  know  about  the  human  brain,  how  would  you  redesign  our 
educational systems? 
Copyright  2000 
 
 
 
 
 
 
NEUROLINGUISTICS AND SLA 
(SCOVEL) 
 
Teachers of English to Speakers of Other Languages, Inc. (TESOL)
Questions concerning the Application of Neurolinguistic Research to Second Language
Learning/Teaching
Author(s): Thomas Scovel
Source: TESOL Quarterly, Vol. 16, No. 3 (Sep., 1982), pp. 323-331
Published by: Teachers of English to Speakers of Other Languages, Inc. (TESOL)
Stable URL: http://www.jstor.org/stable/3586632
Accessed: 07/07/2009 22:29
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TESOL  QUARTERLY 
Vol. 
16, 
No.  3 
September 1982 
Questions  Concerning 
the 
Application of 
Neurolinguistic 
Research  to Second 
Language 
Learning/Teaching 
Thomas Scovel 
My 
two 
colleagues, 
Genesee  and 
Seliger, 
have  done  an  admirable 
job 
summarizing 
the 
ever-growing  neurolinguistic 
research  of  second 
language 
acquisition 
and  have  described  the 
neuroanatomical,  experimental, 
and 
clinical  evidence  for  the 
ways 
in  which  the  brain  is  related  to 
language 
comprehension 
and 
production,  especially 
in 
bilinguals.  They 
have  focused 
in 
particular 
on  the  role  of  the 
right  hemisphere  (RH), 
a 
relatively 
new 
interest  in 
neurolinguistics. 
If  I  understand  their 
viewpoints  correctly,  they 
are 
telling 
us  that  we  should 
approach  neurolinguistic 
research  with  care 
and  that  we  should  be  as 
prudent 
as 
possible 
in  our 
attempts 
to 
apply 
the 
findings 
from  the  field  of  brain  research  to  our 
daily 
classroom  situations 
as 
language 
teachers.  This 
circumspect  approach 
is  well 
justified, 
but  it 
is 
certainly 
not  novel. 
We have 
surveyed 
a  field in the throes  of almost  frenetic 
experimental  activity. 
Development 
has been so 
rapid 
that there has been little time for 
stock-taking. 
There are so 
many things 
to 
do, 
so 
many 
facts to 
gather, 
so 
many experiments 
to  be  confirmed  or which 
require 
additional  controls 
that, 
for the 
moment, 
it 
it  seems wiser to  be 
wary 
of 
far-reaching 
conclusions.  Much more has been 
discovered  of  what has to  be  learned  than has 
emerged 
as 
firmly 
established 
knowledge.  Although  'listening 
in'  on  the 
activity 
of 
single 
nerve cells has 
provided 
some 
fascinating  glimpses 
into neural 
interaction, 
the mechanism  of 
that interaction  still 
strangely 
evades  detection. 
(Morrell  1961:483) 
These 
apprehensions 
were  voiced  over  two  decades 
ago, 
but  the 
plea 
for  caution  and 
stock-taking 
are  as  relevant  for  the 
eighties 
as 
they 
were 
for  the  sixties.  It  is  in  the  same 
spirit 
that  I  will 
attempt 
to 
express  my 
concerns  about  the 
applications 
of 
neurolinguistic 
research  to  second  lan- 
guage  learning 
and 
teaching,  by  citing 
some  recent  studies  which  en- 
courage 
the 
possibility 
of 
overextrapolation  by  language 
teachers.  Then  I 
would  like  to  raise  four 
questions 
about  brain  research  and  its 
application 
to  second 
language  pedagogy. 
In 
brief, 
I  am 
highly 
critical  of 
any 
direct 
application 
of 
neurolinguistic 
research  to 
foreign  language  teaching,  just 
as 
applied  linguists 
of  a 
generation  ago 
were 
correctly  suspicious 
of  di- 
rect 
applications 
of  the  then 
comparatively 
new  science  of 
linguistics 
to 
second 
language 
instruction 
(Bolinger 
1972, 
Krohn 
1971). 
It  is  not  neces- 
sary 
to 
employ 
either 
linguistic 
models  or 
neurolinguistic 
research to 
justify 
323 
TESOL 
Quarterly 
good  pedagogy 
or  to  condemn 
inadequate 
classroom 
practices; 
rather, 
the 
contribution  of 
neuropsychology, 
like  that  of 
linguistics, 
should  be  indirect 
and 
insightful. 
Unfortunately, 
this  has  not  been  the 
popular 
view. 
An 
unhappy  marriage 
of 
single-minded  neuropsychologists 
and  double- 
minded  educationalists  has 
already  given 
birth to  a 
spate 
of 
articles, books, 
and  lecture  tours  which  have  received  wide  media  attention  over  the 
past 
several 
years. 
A  random  list  of  sources  that  have  fallen  into 
my 
hands 
recently 
is 
representative 
of  these 
viewpoints:  1) 
a 
newspaper  story 
about 
a  California  educator  who  visited 
Pittsburgh 
to  tell  350 
principals, 
school 
board 
members, 
and  teachers 
that,  among 
other 
things, 
"In 
school, 
we 
teach  more  to  the  left  brain  and  that  is 
why 
some  children 
fail, 
because 
they 
learn  more  with  the 
right;" 2) 
an  article  in  Science 
magazine 
describ- 
ing 
Tsunoda's  work  on  "the 
Japanese 
brain" which  claims  that  "the  lan- 
guage 
we  learn  alters  the 
physical  operation 
of  our  brains" and  that  the 
Japanese 
do  much  more  left 
hemisphere  (LH)  processing 
than  Westerners 
because  their 
language 
is  richer  in 
vowels;  3) 
an  abstract  for  a 
paper 
to 
be  read  at  a  national  convention  in  which  it  is 
hypothesized 
that  a  second 
language 
is  learned  more 
by 
the  RH  and 
that,  consequently, 
teachers 
should 
employ 
"exercises 
requiring  spatial  processing 
of  verbal  informa- 
tion 
coming 
from  the 
target  language,"  supposedly 
to  enhance  this  RH 
superiority; 
and, 
4) 
a 
manuscript 
on 
evolution,  language, 
and  the  brain 
speculates:  a) 
that  human 
language 
as  we  know  it 
emerged  only 
3,000 
years  ago,  b) 
that  it  came  about  as  a  radical 
change 
from 
right-brained 
oral 
language 
to  left-brained  written 
language, 
and 
c) 
that  this  new  LH 
dominance  has 
given 
rise  to  the 
development 
of  institutionalized 
religion 
and 
dictatorships! 
Compared 
to  the 
potpourri 
I  have 
just  cited, 
the  material 
published 
in 
the  last  few 
years  dealing 
with 
neurolinguistics  applied 
to  second 
language 
learning 
and 
teaching 
is 
relatively 
conservative  in 
tone;  nevertheless, 
in 
light 
of  the  wide 
degree 
of  variance  in  the 
neurological 
literature 
(some 
of  it 
reported  by 
Genesee  and 
Seliger), 
and  because  of  the 
danger 
of 
try- 
ing 
to  match 
biological 
correlates  to 
psychological 
functions, 
a  hazard 
pointed 
out 
by 
Gruber  and 
Segalowitz  (1977), 
I  think  both 
language 
re- 
searchers  and 
language 
teachers  must  exercise  caution  in 
seeking  any 
facile 
link  between  the 
findings 
reported 
on 
by  neuropsychologists 
and  what 
happens, 
or what  we  think 
happens, 
to  our 
language 
students  in  the  class- 
room.  For  this 
reason, 
and  for  others  I  am  about  to 
enumerate, 
I  view 
with 
great 
concern 
any  pedagogical  applications  stemming 
from  certain 
papers 
which  have  been 
presented 
at  recent  TESOL  conventions  on  this 
topic  (e.g., 
Carroll 
1978, 
Gilbert 
1980, 
Wesche  and  Schneiderman  1980) 
as  well  as  similar  articles  which  have 
appeared 
in 
print  (e.g., 
Hartnett 
1976, 
Walsh  and  Diller 
1978, 
Lamendella 
1979). 
Some  of  these  studies  are 
carefully 
constructed  and  are 
wary 
of 
easy  conclusions, 
but  so 
great 
is  the 
enthusiasm  of  the 
general  public 
for 
things 
scientific  that  I  am  afraid 
324 
Applications 
to 
Teaching 
teachers  and  administrators  alike  will 
ignore 
little 
qualifications 
like 
may, 
might, 
or  in  some 
subjects, 
and  rush 
headlong 
into  direct  classroom 
appli- 
cations 
purportedly  tapping 
LH  or  RH  abilities.1 
There  are  four  reasons 
why 
I  believe  that  brain  research  will  not 
pro- 
vide  a 
quick 
fix  to  our 
teaching  problems. 
I 
present 
them  here  as 
four 
questions 
about  the 
applicability 
of 
neurolinguistic 
research to  second  lan- 
guage  pedagogy. 
The  first 
question 
we  should  ask  when 
trying 
to 
apply  neurolinguistic 
and 
neuropsychological 
research  to  the  needs  of 
language 
learners  is  that 
of  who  the 
subjects 
of  these  studies  are.  In 
asking 
this 
question, 
we  dis- 
cover  that 
neurolinguists 
have 
usually 
examined  either 
competent 
bilin- 
guals  or, 
cross-sectionally, 
second 
language 
learners  at  different 
stages 
of 
acquisition.  Unfortunately, 
there  are  few  if 
any  neurolinguistic 
studies 
which  have 
investigated  people 
who  are  in  the 
process 
of 
acquiring 
a  sec- 
ond 
language  using  longitudinal 
measures.  When  we  turn  the 
question 
around  and  ask  who  our  students 
are, 
it  is 
transparent 
that 
language 
teachers  are 
generally  dealing 
with  an 
entirely 
different 
population 
than 
researchers  because  the 
majority 
of 
programs 
around  the  world  are  de- 
signed 
for 
beginning 
or  intermediate  level  learners.  The  mismatch  is  im- 
mediately  obvious; 
the 
language 
users 
reported 
on  in  the 
neurolinguistic 
literature 
are, 
by 
and 
large,  people 
who  have  attained  a  state  of 
being 
bilingual, 
whereas  the 
population 
that  most  interests  teachers  is  still  in  the 
process 
of 
becoming  bilingual.  Clearly, 
we  have  two  different 
psycholog- 
ical 
stages 
of 
cognition, 
and  there  is  no  reason  to  assume  that  the  nu- 
merous 
neuropsychological 
studies  we  have  on 
bilingualism 
can  be  auto- 
matically 
transferred to  second 
language 
instruction  about  which  we  have 
virtually 
no 
neuropsychological 
data.  Put 
succinctly, 
we  know 
something 
about  how  the  brain 
processes  linguistic 
information  in 
bilinguals 
from 
both 
experimental 
and  clinical 
studies, 
but  we  know 
nothing 
about  how 
or  even  if 
language  processing  systems 
of  the  brain 
change  during 
the 
course  of 
learning 
a  second 
language. 
Given  that  at  this  time  we  have 
almost  no 
neurolinguistic 
data  on  the 
process 
of 
becoming  bilingual, 
we 
cannot  even 
begin 
to 
speculate 
about  what  is 
happening 
in  the  brains  of 
our  students.  We  rest  with  the 
hope 
that 
something 
is  indeed 
transpiring, 
however 
ephemeral. 
My 
second 
query 
deals  with  what 
specific 
skills  are 
being  reported 
on. 
In 
looking 
at 
any  neuropsychological  study, 
we  should  look  at  the 
specific 
behavioral  task  that  the 
subjects 
are 
required 
to 
perform.  Regardless 
of 
the 
results, 
whether  there  is  a 
significant  right 
ear 
advantage  implicating 
1I  am 
grateful 
to  the  Research Committee of 
TESOL, 
which  has 
played 
a 
major 
role  in 
interpreting 
research 
findings 
to  the  TESOL 
membership, 
for 
having provided 
a  forum on 
neurolinguistics 
in  order to  deal  in  a 
responsible way 
with  the 
weight 
of 
new  data  about  the  brain  that  is 
constantly being  reported by  neuropsychologists 
on 
the  one 
hand, 
and the  natural desire of  classroom teachers to  discover new  answers to 
old 
pedagogical questions on  the  other. 
325 
TESOL 
Quarterly 
the 
LH, 
or  a 
strong 
left  visual  field 
tendency  suggesting 
RH 
processing, 
to  cite 
just 
two 
examples, 
an 
important  question 
is, 
"What were  the  sub- 
jects  required 
to  do?" One  of  the  most  dramatic 
findings 
to 
emerge 
from 
the 
past 
two  decades  of  research  on  differential  lateralization  has  been  the 
increasing  importance 
of  the  nature  of  the 
experimental 
task  on  the  results 
of 
neurolinguistic  investigations. 
An 
example 
of  the 
way 
in  which  the  be- 
havioral  task  can  determine 
hemispheric  response 
can  be  seen  in  studies 
of  the  role  of  the  RH  in 
processing 
information  about  human  faces. 
It  used  to  be  believed  that  the 
type 
of 
stimulus, 
categorized 
in 
very 
general  terms, 
dictated  which 
hemisphere 
would  be  better  in 
responding 
(e.g., 
a 
linguistic 
stimulus  should 
trigger 
LH 
responses). 
Thus,  Bogen 
(1975) 
claimed  that  the  RH  was 
responsible 
for 
"spaces, 
mazes, 
and faces." 
But  if  we  examine  the  abundant  research  done  on 
recognizing 
faces  and 
on 
prosopagnosia  (the 
failure  to 
recognize  faces) 
in 
right  hemisphere 
damaged  patients, 
we  realize  from  recent 
experimental 
studies  that  facial 
recognition 
is  not 
simply 
nor 
solely 
an  RH 
phenomenon. 
Berent 
(1977) 
and 
Dekosky 
et  al. 
(1980) 
have 
presented 
evidence  to  indicate  that  in  tasks 
which 
require 
brain 
damaged  patients 
to 
recognize 
emotional 
faces, 
either 
the  LH 
damaged  subjects  performed 
as 
poorly 
as  the  RH 
impaired  pa- 
tients, 
or 
they 
did  worse. 
Dekosky 
et  al. 
(1980)  speculate 
that  since  link- 
ing 
emotion  to  faces 
may  require 
verbal 
mediation, 
this 
particular 
task, 
which 
up 
to 
recently 
has  been  considered  a  classic  RH 
test, 
imposes 
diffi- 
culties  for  LH 
damaged  subjects 
as  well.  Similar 
irregularities 
in  the 
pro- 
cessing 
of  faces 
portraying 
emotions  were  found  in  a 
study 
of  normals 
by 
Strauss  and  Moscovitch 
(1981).  They 
discovered  no  visual  field 
asym- 
metries  in 
subjects  viewing  pictures 
of  faces 
depicting  negative 
emotions. 
In 
brief, 
we  can  see  that 
something 
so 
simple 
as  facial 
recognition 
is  not 
so 
simple 
after 
all, 
and  it  is  not  sufficient to  look  for 
easy 
correlations be- 
tween  certain 
types 
of  stimuli  and 
neuropsychological 
measures  of  LH  or 
RH  lateralization.  It  is 
necessary 
to  ask  the  additional 
question, 
"What 
specific  cognitive 
task 
(or  tasks) 
are  we 
asking 
the  brain  to 
perform?" 
From  this 
perspective 
it  can 
readily 
be  concluded  that  we  must  be 
very 
careful  when 
attempting 
to  link 
global 
claims  about 
hemispheric 
lateral- 
ization  to 
global 
measures  of  human  behavior. 
My 
third  concern  deals  with  where  in  the  brain we  are 
looking 
for  our 
neuropsychological 
evidence.  The 
great  part 
of  the  work  in 
neuropsychol- 
ogy, 
from  the  clinical  literature  of  Broca's 
early 
work  in  the  nineteenth 
century 
to 
present-day  experimental  studies, 
has  examined 
only 
one  neuro- 
anatomical  dimension:  differential  lateralization  of  either 
hemisphere. 
So 
fascinated  have  we  become  with  bilateral 
asymmetry 
that  we  have  tended 
to 
forget 
that  there  are  two  other  neuroanatomical  dimensions:  the 
up/ 
down  and  front/back  directions 
(to 
use  the 
terminology 
of  human  anat- 
omy, 
the 
superior/inferior 
and 
anterior/posterior  contrasts).  Although 
the 
left/right  dichotomy 
is 
easy 
to 
identify  neuroanatomically 
and  is  amenable 
326 
Applications 
to 
Teaching 
to  a  wide 
variety 
of  behavioral  and 
neurophysiological 
measures, 
it 
is 
somewhat  ironic  that  this  dimension  has  been  so 
intensively 
studied 
in 
humans.  In  terms  of  human 
evolution, 
embryological  development, 
ana- 
tomical,  histological 
and 
cytochemical 
differences, 
and  most 
importantly, 
in  terms  of  the  neurofunctional  control  of  somatic  and 
psychological 
be- 
havior, 
by 
far  the  most 
important 
dimension  of  the  brain  is  the 
difference 
between  the 
top 
and  the  bottom-between  the  cerebral 
hemispheres, 
the 
limbic 
system, 
the 
cerebellum, 
the 
midbrain, 
and  the  brain  stem. 
The  reasons 
why 
most  research  has  concentrated  on  bilateral  differ- 
ences  and  not  on  the 
superior/inferior 
dimension  must  reside  in  the 
history 
of 
neuropsychology 
and  are 
largely 
unknown  to 
me, 
but  one 
neurologist's 
comments 
concerning 
the 
history 
of 
neuropsychological 
research  are 
par- 
ticularly  germane.  Jacobs  (1977) 
concludes  with  the 
wry 
observation  that 
"It must 
always 
be  remembered  that 
things  easy 
to  measure  are not  neces- 
sarily important 
and those  not  measurable 
may 
be 
very  important" (p.  163). 
I  would  submit  that  one  reason  we  are  attracted  to 
left/right 
dichotomies 
is  that 
they 
are  more 
susceptible 
to  measurement  than  the  other  two  di- 
mensions.  One  wonders  if  we  are  not 
witnessing 
a  modern  form  of 
phre- 
nology.  Today, 
with  the  advent  of  even  more 
powerful 
instruments  such 
as 
Positron-Emission-Tomography  (PET), 
we  are  still 
limited,  especially 
in 
dealing 
with  the 
complex  relationship 
between  the  cortical  and  sub- 
cortical  areas  of  the 
functioning, 
normal  brain. 
Jacobs 
has  an  observation 
about  instrumentation  too. 
When 
making 
use  of 
sophisticated equipment, 
the  researcher should  not  be 
misled into 
believing 
that he  has 
developed sophisticated 
answers. More 
elegant 
mythologies 
are  no  more  useful  or  truthful than 
simpler mythologies.  (Jacobs 
1977:163) 
Who?  What?  and  Where?  lead  to  the  final  and  most 
important  ques- 
tion, 
So What?  Let  us 
assume, 
for the  sake of 
argument, 
that  a  certain kind 
of 
language  teaching 
methodology 
correlates 
statistically 
with  a  certain 
pattern 
of 
hemispheric  processing. 
Let  us  further 
suppose 
that  ESOL  stu- 
dents 
studying 
with  a 
strict, 
audiolingual 
method 
only  employ 
the  tem- 
poral 
lobes  of  their  left 
hemispheres, 
but  that  students  who  use  an 
eclectic, 
cognitive 
code  method  use  all  four  lobes  of  both 
hemispheres. 
We 
might 
call  this  the 
pinball 
machine  model  of 
applied 
neurolinguistics, 
where  dif- 
ferent  methods  score  different 
points 
depending 
on  how  much 
neuropsy- 
chological 
information  is  bounced  around  inside  the  cranium.  In  the  ex- 
ample  just  cited, 
the 
cognitive 
code  method 
would, 
of 
course, 
light  up 
the 
machine!  Even  if  all  this  were 
true, 
and  even  if  we  could 
quantify 
what 
happens 
to  the  brain  of  a  learner when 
studying 
a  second 
language 
under 
two 
supposedly  very 
different 
methodologies,  using 
cerebral  blood  flow 
studies  or  PET 
scans, 
what 
practical 
benefits  would  accrue  from  such  re- 
search? Does  the 
quantity 
of  nervous  tissue  involved  in  cerebral 
processing 
327 
TESOL 
Quarterly 
carry 
with  it 
any  implicit 
normative  evidence?  Does 
quantity  imply  qual- 
ity  any 
more  in 
neurology 
than  it  does  in 
pedagogy? 
I  think  not. 
This  final 
problem 
of  the 
pedagogical 
irrelevance  of  direct 
applications 
of 
neuropsychological 
research 
emphasizes 
the  ultimate 
futility 
of 
any 
at- 
tempts 
to  seek  a 
neurolinguistic  reality 
to 
justify 
certain  classroom  tech- 
niques 
and  behaviors.  The  brain  is  a 
fascinating  organ, 
and 
every  year, 
neurolinguistic 
research  is 
providing 
us  with 
deeper 
and  more 
insightful 
answers  into  the  classic 
question 
of 
psychology: 
the 
relationship 
between 
mind  and 
body. 
I 
certainly  hope 
that  all 
language 
teachers  will 
try 
to 
remain  abreast  of  some  of  the 
major  findings 
that  are 
being 
discussed  in 
neurolinguistics,  especially 
those  results  which 
may 
offer  keener 
insights 
into  how 
language  learning might 
be  enhanced  and  accelerated.  But  I  have 
the 
equally  strong  aspiration 
that 
language 
teachers  will  exercise  common 
sense  in 
seeking  help 
from  a  wide 
variety 
of 
disciplines 
and  that 
they 
will 
continue  to  balance  the  research  contributions  of  these 
disparate 
fields 
with  sensible 
experience 
and  with  a  sensitive 
appreciation 
of  the  needs 
and 
goals 
of  their  students.  There  is  no  need  to  resort  to 
neurolinguistic 
research  to 
justify 
the 
importance 
of  these 
goals 
of  common 
sense, 
experi- 
ence, 
and 
sensitivity. 
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THE NEUROFUNCTIONAL BASIS 
OF PATTERN PRACTICE 
(LAMENDELLA) 
 
Teachers of English to Speakers of Other Languages, Inc. (TESOL)
The Neurofunctional Basis of Pattern Practice
Author(s): John T. Lamendella
Source: TESOL Quarterly, Vol. 13, No. 1 (Mar., 1979), pp. 5-19
Published by: Teachers of English to Speakers of Other Languages, Inc. (TESOL)
Stable URL: http://www.jstor.org/stable/3585971
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TESOL  QUARTERLY 
Vol. 
13,  No.  1 
March 1979 
The 
Neurofunctional 
Basis of 
Pattern Practice 
John  T. Lamendella 
An 
explanation 
is 
proposed 
for the  substantial  failure of 
pattern-practice 
drills 
to 
equip 
most second 
language 
learners  with the 
ability 
to 
automatically 
access 
Target Language grammatical  knowledge 
in  communicative  interactions.  The 
hypothesized explanation 
is  based on  the neurofunctional 
approach 
described 
in  Lamendella 
(1977) 
and Selinker and Lamendella 
(1978). 
Relevant theo- 
retical results of 
clinicopathological  investigations 
in 
neurolinguistics 
include 
the  existence of  a  dominant 
hemisphere 
Speech 
Copying 
Circuit which  de- 
pends 
on functional interactions  between those neocortical 
systems 
involved in 
the elaboration  of 
auditory speech input 
and those neocortical 
systems 
involved 
in the control of 
articulatory  speech output. 
Taken 
together, 
conduction 
aphasia 
and the  transcortical 
aphasias point 
out the  functional 
autonomy 
of the  cross- 
channel 
speech processing 
circuit from 
higher-level language processing, 
and 
the 
special 
status of 
imitation, repetition, 
and certain forms of substitution  and 
completion 
as  distinct forms of 
speech 
behavior 
separable 
from 
propositional 
language.  During 
mechanical 
pattern-practice drills, many 
second 
language 
learners 
may functionally 
disassociate the 
speech copying 
circuit from 
higher- 
level 
language processing systems 
(and from the 
language acquisition  process) 
as  an efficient means of 
performing 
a 
repetitious cognitive 
task not related to 
communicative  interactions. 
It  is  now 
generally  recognized 
that  mechanical 
pattern-practice 
drills  fail 
to 
equip 
most  second 
language 
learners with  the 
ability 
to 
automatically 
access 
Target  Language  (TL)  knowledge 
in  communicative  interactions. 
Among 
the 
reasons 
suggested 
for  this 
failure, 
it  has  been  noted  that 
pattern-practice 
drills 
do  not 
provide  genuine 
communication 
practice 
nor do 
they  provide 
a 
meaning- 
ful  context  within  which  sentences 
may 
be 
produced 
and  understood 
by 
stu- 
dents 
(see  Jakobovits  1970; 
Rivers 
1973; 
Slager  1973). 
On  one  level  these  are 
adequate  (if  negative)  explanations 
for  the  failure  of 
pattern-practice 
drills  to 
accomplish 
the 
goals 
set  for  them 
(cf. 
Table 
1). 
However, 
in  this 
paper 
I would 
like  to  reexamine  the 
question 
of 
why  pattern  practice 
fails 
by  hypothesizing 
about  the  information 
processing 
activities  which 
they 
entail.  In 
doing 
so, 
I 
hope 
to 
indirectly 
contribute  to  a  better 
understanding 
of  which 
pedagogical 
methods 
might 
best 
provide 
students  with  automatic  access  to  TL 
linguistic 
knowledge 
in  real-world  interactions  with  TL 
speakers. 
The 
proposed  explana- 
tion  is  framed  in  terms  of  the  neurofunctional 
perspective 
on 
interlanguage 
learning 
described  in  Lamendella 
(1977) 
and  Selinker & Lamendella 
(1978). 
A  neurofunctional 
perspective 
on 
language  attempts 
to  characterize  the 
neurolinguistic 
information 
processing  systems  responsible 
for  the 
development 
Mr. Lamendella  is Associate  Professor  of 
Linguistics 
in the 
Linguistics  Program, 
San 
Jose 
State 
University, 
California. 
5 
TESOL 
Quarterly 
TABLE  1 
Four  Goals of  Pattern-Practice Drills  in  the  Oral 
Approach 
1.  At  the 
phonological  level,  pattern-practice 
drills  were  intended  to  consolidate 
ap- 
propriate 
TL 
articulatory habits, 
and  to 
help 
the  student  achieve 
phonological 
fluency through multiple  repetitions 
of  sentences. 
2.  At  the 
syntactic  level,  pattern-practice 
drills  were  assumed  to  consolidate the  stu- 
dent's inductive 
generalizations 
about TL 
grammatical patterns, 
based  on  the 
repeti- 
tion  of 
many  specific 
instances of  the 
pattern, produced 
with  different fillers. 
3.  At  all  levels  of 
language  structure, pattern-practice 
drills  were 
intended,  through 
overlearning, 
to  make  correct TL 
speech 
habits 
automatic, 
so  that 
they 
would  be 
consistently 
elicited  in  future  TL 
speech 
interactions. 
4. 
Through overlearning 
of  "correct" TL 
habits,  pattern-practice 
drills  were  intended 
to 
help 
the  student  overcome  the  bad  effects  of 
interference, 
that 
is,  negative 
transfer from Native 
Language  (NL)  speech 
habits. 
and  use  of 
language. 
The  basic  theoretical  unit  of  this 
approach 
is  the  neuro- 
functional  system  (NFS), 
a  functional  construct 
organized 
within  the  nervous 
system 
at  various  anatomical  strata  and 
physiological 
levels  in  hierarchical 
fashion, 
with 
given 
neurofunctional 
systems 
(henceforth 
NFSs)  operating 
to 
carry 
out 
specified 
functional  roles  in 
particular 
information 
processing 
domains. 
Among 
the 
many 
functional  hierarchies  associated  with  neural 
activity, 
Lamendella 
(1977) 
identified  the  communication 
hierarchy 
of  NFSs  as 
having 
principal  responsibility 
for 
language 
and  other  forms  of 
interpersonal 
human 
communication. 
Additionally, 
there  was 
distinguished 
a 
cognition  hierarchy 
of 
NFSs  which  controls  a 
variety 
of 
"intrapersonal" cognitive 
information 
process- 
ing 
activities.  As  a  matter  of 
terminology 
and  in  an 
attempt 
to 
conceptually  pin 
down 
distinctly 
different  internal  functional 
organizations, 
Lamendella 
(1977) 
distinguished 
the 
types 
of 
language  acquisition 
outlined  in  Table  2.  There  can 
be  little  doubt  that  it  is 
Secondary  Language  Acquisition 
which  is  the  most 
ap- 
propriate  goal 
for  the 
majority 
of  second 
language  learning 
students.  It  is  also 
clear  that  the  oral 
approach 
and  the 
audio-lingual 
method  are 
uniquely 
struc- 
tured  to 
promote  Foreign  Language  Learning 
in  the 
majority 
of  students.  I  shall 
propose 
an 
explanation 
as  to 
why  pattern-practice 
drills  are  an 
unproductive 
basis  for 
effecting 
successful 
Secondary  Language  Acquisition. 
The  bulk  of  the  relevant 
empirical 
data  which 
help 
us  understand  the 
organization 
of 
neurolinguistic  systems 
in  humans  comes  from  the 
study 
of 
patients 
with 
neurological 
disorders, 
especially 
those  with 
aphasic  language 
disorders. 
Studying  particular 
disorders  of 
language  may 
lead  to  useful  con- 
clusions  about  the  functional 
organization 
of  the  neural 
systems  responsible 
for 
the  human 
capacity 
to 
acquire 
and use 
primary 
and 
nonprimary language. 
Before 
discussing 
two 
particular  aphasic  syndromes 
as  a  means  of 
support- 
ing  hypotheses 
on  the  functional  basis  of 
pattern  practice, 
I  will  review  the 
principal  speech  regions 
which  have  been  discovered  to  exist  within  the  domi- 
nant  cerebral 
hemisphere 
of  our 
species.  Figure 
1 
provides 
both  a  lateral 
(A) 
and  a  horizontal 
(B) 
view  of  those 
regions 
of  the  dominant 
hemisphere 
in- 
volved  in 
major aspects 
of 
speech  processing. 
6 
Pattern  Practice 
TABLE  2 
Major Types 
of 
Language Acquisition 
I.  PRIMARY LANGUAGE 
ACQUISITION 
The  child's 
acquisition 
of  one  or more native 
languages, taking place 
from 
approximately 
2-5 
years 
of 
age 
in  the  context of  the 
progressive 
maturation of  the 
hierarchically  organ- 
ized  neural 
systems responsible 
for  the 
development 
and  use  of 
language. Primary lan- 
guage  acquisition 
is  characterized 
by 
a 
biologically 
based  series of 
developmental stages 
and  becomes difficult to  achieve outside of  a  critical 
period 
which  ends  at 
approximately 
9-13 
years 
of 
age. 
II.  NONPRIMARY LANGUAGE 
ACQUISITION 
The  older  child  or  the  adult's 
acquisition 
of  a  normative 
language 
after  the 
period  of 
primary language  acquisition, 
when  the  relevant  neural 
systems 
have 
already 
become 
operational 
and  are 
engaged 
in 
primary language 
communication. 
Nonprimary language 
acquisition 
is  characterized 
by 
a 
progression 
of 
interlanguages 
and becomes more difficult 
to  achieve  outside  of  a  sensitive 
period 
which  ends  at 
approximately 
13 
years 
of 
age. 
There are  two  main 
subtypes 
of 
nonprimary  language acquisition: 
A.  FOREIGN LANGUAGE LEARNING 
The 
typical 
result  of  traditional methods  of 
language 
instruction in  a  formal class- 
room 
setting. Foreign language learning 
leads to 
target language 
communication  skills 
marked 
by:  1) 
the 
application by 
the learner of the 
cognition hierarchy 
of neurofunc- 
tional 
systems 
as the  basis for 
learning 
and 
speech performance;  2)  frequent 
conscious 
direction of 
target language speech performance; 
and 
3) 
the  use  of  translation  buffers 
to 
map 
between  the  native 
language' 
and the 
interlanguage. 
B.  SECONDARY LANGUAGE 
ACQUISITION 
The  more 
typical 
result of 
nonprimary  language acquisition 
in  real-world 'naturalistic' 
settings 
in  which 
target  language 
communication skills  are  marked 
by:  1) 
the 
application by 
the  learner of  the  communication 
hierarchy 
of  neurofunctional 
systems 
as  the  basis of 
learning 
and 
speech  performance; 2) 
the  use  of  the 
interlanguage 
for 
internal 
representational coding  functions;  3) 
the  absence  of  translation 
buffers; 
and 
4) 
automatic access  to 
interlanguage grammatical 
and 
knowledge 
without  the 
need  for  conscious direction. 
(Adapted 
from Lamendella 
1977) 
The  two 
aphasic  symptom  complexes 
are:  Conduction 
aphasia 
and  the 
Transcortical 
aphasias. 
While  I  do  not  wish  to 
oversimplify, 
it  will  not 'be 
pos- 
sible  to  do 
justice 
to  the 
complexities 
of  these  disorders  here 
(for 
a 
general 
survey 
of 
language  disorders, 
see  Whitaker  & Whitaker 
1976a). 
1.  Conduction 
Aphasia 
In  its 
"pure" form, 
conduction 
aphasia 
is  manifested 
principally 
as  a  selec- 
tive 
disruption 
of  the 
repetition 
of 
speech, 
with 
patients  having  varying  degrees 
of 
difficulty 
in 
accurately  reproducing  speech 
models.  Patients  can  often 
recog- 
nize  their 
errors, 
but 
despite 
frustration  and 
self-criticism, 
cannot  correct  them 
(Green 
&  Howes 
1977). 
Given 
time, 
patients 
can  sometimes 
reproduce 
the 
semantic  content  of 
speech  models, 
but 
rarely 
in  the 
original 
form  of  the  model 
(DuBois 
et  al. 
1964; 
Hecaen  et  al. 
1955).  Speech  comprehension 
in  conduction 
aphasics 
remains  more  or  less  normal. 
Spontaneous  speech  production 
is  often 
7 
TESOL 
Quarterly 
FIGURE  1 
The 
Principal Speech Regions 
of the  Human Brain 
Lateral view  of  the  dominant 
(left) 
cerebral 
hemisphere. 
Horizontal view  of  both  the  left  and the 
right 
cerebral 
hemispheres. 
FL  = 
Frontal 
Lobe, 
TL 
= 
Temporal Lobe, 
PL 
= 
Parietal 
Lobe, 
OL  = 
Occipital 
Lobe; 
SF  = 
Sylvian  Fissure; 
SMG 
= 
Supramarginal  Gyrus, 
AG 
= 
Angular Gyrus, 
MFG  =  Middle  Frontal 
Gyrus 
AG 
ARCUATE  FASCICULUS/ 
WERNICKE'S  AREA 
B 
ARCUATE 
FASCICULUS 
BROCA'S  AREA 
WERNICKE'S 
AREA 
A 
B 
KEY: 
A 
BROCA'S  AREA  / 
8 
Pattern Practice 
marked 
by 
incorrect  substitutions 
(paraphasias) 
at  the 
phonological, 
lexical, 
and 
syntactic 
levels.' 
While  a  function  such  as 
repetition 
cannot  in 
principle 
be  localized  in 
neural 
tissue, 
the  location  of  the  lesion  which 
produces 
conduction 
aphasia 
tends  to  be  in  the 
posterior portion 
of  the  brain within  the  dominant 
hemisphere, 
in  the 
general  region  surrounding 
the  back 
portion 
of  the 
Sylvian 
fissure 
(see 
Figure  1). 
The  tissue 
damage 
almost 
always  encompasses 
both  the 
superficial 
cortical 
layers 
and  the 
underlying 
white  matter  fiber  tracts 
(Green 
& Howes 
1977). 
Geschwind 
(1965) 
has 
proposed 
that  the  most 
typical 
lesion 
producing 
this  disorder 
disrupts 
the  fibers  of  the  arcuate 
fasciculus  (located  deep 
to  the 
supramarginal  gyrus; 
see 
Figure  1). 
Such  a  functional  dissociation  of  Wer- 
nicke's 
sensory  speech 
area  from  Broca's  motor 
speech 
area  would  interfere 
with  the 
patient's  ability 
to 
reproduce 
the  form  of 
speech 
models  in 
repetition 
tasks. 
Simultaneously, 
the  disassociation  of  Broca's  area  from  Wernicke's  area 
disrupts 
the 
guidance 
of 
speech  output  by  phonologically 
elaborated 
auditory 
input. 
This 
explanation 
would  account  both  for  the  observed 
repetition 
disorder 
and  the 
moderately 
defective 
spontaneous  speech  output 
of  conduction 
aphasics.2 
2.  Transcortical 
Aphasias 
The  second  set  of 
symptom complexes 
I wish  to focus  on are the  transcortical 
aphasias,  involving 
the  three  main  varieties  outlined  in  Table  3. Geschwind  et  al. 
(1968) 
describe  the  case  of  a  woman  who  suffered  carbon  monoxide 
poisoning, 
leading 
to 
widespread  damage 
to  cortical  tissue.  It  was  determined  that  the  net 
effect  of  the  tissue 
damage 
had  been  to 
functionally 
isolate  from  other  cortical 
regions 
the 
mostly 
intact  Broca's  and  Wemicke's 
speech 
areas, 
the 
auditory 
cortex, 
and  the  connections  between  them.  The 
symptoms 
of  this 
patient 
cor- 
responded 
well  to  the  classical 
description 
of  mixed  transcortical 
aphasia  (see 
Table 
3). 
Spontaneous  speech 
in  this 
patient 
was  confined  to  a  few 
stereotyped 
phrases;  language  comprehension 
was  not  evident.  The 
patient 
was 
echolalic, 
compulsively  repeating, 
with  excellent 
articulation, 
utterances  addressed  to  her. 
So as not to 
oversimplify 
the 
symptomological  picture 
in conduction 
aphasia 
too 
much, 
it 
should be  noted that while  oral 
reading 
is 
approximately 
the same as 
speech, reading compre- 
hension is 
impaired. Writing 
is  worse than 
speech, 
and these 
patients 
often 
experience 
anomic 
word-finding 
difficulties 
(see 
Green & Howes 
1977). 
Strub & Gardner 
(1974) 
concluded that 
the 
repetition 
deficit of  conduction 
aphasics 
could  be  termed "an 
impairment 
in 
proceeding 
from  a 
phonological analysis 
to  the  selection and  combination of 
target phonemes" (p.  253). 
There 
is,  however, 
serious 
disagreement 
about  the 
precise 
functional  character of  this  dis- 
order.  For 
example, 
some 
investigators 
believe  that  it  is  not  so  much a  disorder of 
language 
as  of  short-term 
memory processing  (e.g.,  Warrington 1971). 
DuBois  et  al. 
(1964)  propose 
still  another 
explanation, 
as  do  Luria 
(1970) 
and  Brown 
(1975). 
2 
As Geschwind 
(1965)  notes, 
in  some conduction 
aphasics 
the arcuate fasciculus is 
intact, 
and 
only 
Wernicke's area  is 
implicated pathologically. 
Kleist 
(1962)  proposed 
that  in  such 
patients speech  comprehension 
remained 
possible 
either because the 
homologue 
of  Wernicke's 
area  in  the  non-dominant 
hemisphere 
could  take  over  this  function  after  the  destruction of 
Wernicke's area in  the  dominant 
hemisphere, or, 
for some  smaller subset of 
patients, speech 
comprehension 
had  been 
taking  place 
in  the  non-dominant 
hemisphere 
all 
along. 
In  either 
case, 
it  seems  that  an  intact  Wernicke's area  in  the  dominant 
hemisphere 
is  not 
necessary 
for  the 
reproduction 
of 
speech 
models. 
9 
TESOL 
Quarterly 
TABLE  3 
Three 
Types 
of  Transcortical 
Aphasia 
TRANSCORTICAL  MOTOR APHASIA 
While 
patients 
exhibit  a 
preservation 
of  the 
ability 
to  imitate  and 
repeat  speech  models; 
spontaneous speech 
and 
writing 
are 
virtually absent, 
and 
only 
brief 
responses 
can be  elicited 
to 
specific 
stimuli such  as 
objects 
to  be  named. 
Auditory comprehension 
of 
speech 
is 
intact, 
but  there  is  a 
general 
loss  of  initiative  and 
stagnation 
of  mental 
activity. 
The  disorder is 
considered to  result most  often  from a  focal  lesion  in  the 
portion 
of  the  frontal lobe 
just 
in 
front of  the  still  intact  Broca's area 
(see  Figure  1; 
see  Rubens 
(1976) 
for  a  recent 
review). 
TRANSCORTICAL  SENSORY APHASIA 
Patients show 
preservation 
of  the 
repetition 
function but  in  the  absence of 
any 
demonstrable 
comprehension 
of 
speech.  Spontaneous speech  output 
in  these 
patients 
is 
fluent, 
well-articu- 
lated, 
but  manifests 
paraphasic jargon. Reading 
and 
writing 
are 
typically 
absent. Patients 
may 
possess 
the 
ability 
to  recite 
song lyrics 
or other memorized material. The  disorder is 
thought 
to  result  from  a 
large 
lesion  in  the 
temperoparietal region 
which 
spares 
Wemicke's 
area, 
but  isolates  it  from the 
surrounding sensory 
association cortex 
(see 
Goldstein 
1948; 
Brown 
1972). 
MIXED  TRANSCORTICAL  APHASIA 
In  the  virtual  absence  of  either 
spontaneous speech  production 
or 
speech  comprehension, 
patients 
exhibit  excellent 
preservation 
of  the 
capacity 
to  imitate  and 
repeat 
verbal  stimuli 
addressed to 
them, 
and  in  fact  seem  to  do  so 
involuntarily. 
Patients 
give 
little  evidence  of 
propositional language capabilities. (See 
Coldstein 
1948; 
Geschwind et  al. 
1968; 
H.  Whitaker 
1976). 
This 
patient 
sometimes manifested the 
"completion"  phenomenon 
described 
by 
Stengel 
et  al. 
(1947). 
For 
example, primed 
with the 
phrase 
"Ask me no 
ques- 
tions  .  . 
," she 
responded: 
"I'll tell 
you 
no  lies."  Also  without 
comprehension, 
this 
patient 
was able to 
carry 
on limited 
learning 
of 
sung 
verbal 
material, 
learn- 
ing 
the words 
(and 
music) 
to new 
songs. 
The 
investigators 
concluded 
that, 
even with Wericke's  area 
intact, 
language 
comprehension 
could not take 
place 
since the 
functionally 
isolated 
speech 
areas 
were not 
capable 
of 
arousing 
associations  in  other cortical 
regions. Since, 
addi- 
tionally, any ongoing activity 
in other cortical 
systems 
could not enter the 
speech 
areas, 
the 
patient 
was not  able to 
produce 
true 
propositional  language. 
The second case of mixed transcortical 
aphasia 
we  shall discuss is 
presented 
in  an excellent 
study by 
H.  Whitaker 
(1976), 
of  a  59 
year-old 
woman suffer- 
ing  presenile 
dementia. The  disorder was  manifested 
pathologically 
as  a 
pro- 
gressive 
diffuse 
atrophy 
of  cortical 
tissue, 
and 
symptomologically 
as a 
progres- 
sive  deterioration  of  mental and 
linguistic capabilities. Again, 
for this 
patient, 
the 
speech 
areas remained 
essentially 
intact but 
functionally  isolated from other 
cortical 
regions. 
The 
patient produced virtually 
no 
spontaneous  speech output 
and  had  marked 
impairment 
of 
speech  comprehension. 
The 
presentation 
of 
stereotyped, 
or 
high-frequency  utterances, 
said with  a  non-terminal  intonation 
contour, 
would  sometimes elicit  the 
completion phenomenon 
of 
Stengel 
et  al. 
(1947). 
Under  the 
appropriate 
conversational 
conditions, 
this 
patient 
would 
also echo without 
comprehension  speech 
models addressed  to her. 
What  makes  this  case  of 
particular  importance 
to 
understanding 
the  func- 
10 
Pattern  Practice 
tional 
organization 
of 
neurolinguistic  systems 
is  that  the 
patient 
would  some- 
times 
systematically 
alter  the 
linguistic 
form  of  the  words  and  sentences  she 
reproduced. 
Table  4 
provides 
a 
sampling 
of  the  sorts  of 
lexical,  syntactic, 
and 
semantic 
operations 
which  were  characteristic  of  certain  modified  echolalic  re- 
petitions  by 
this 
patient 
based  on  residual 
speech  capabilities. 
The 
patient's 
capacity 
to  make  these 
linguistic 
alterations  and  corrections  demonstrates  in  a 
dramatic  fashion  that  certain  low  level 
grammatical 
rules,  i.e., 
those  which  have 
TABLE 4 
Examples 
of  Modified 
STIMULUS ITEM 
Echolalic 
Responses 
of  a  Patient With  Mixed 
Transcortical 
Aphasia 
PATIENT'S RESPONSE 
Completions 
Where  do 
you 
.  .  . 
Down 
by 
the  old  .  .  . 
Jingle 
bells  .  .  . 
(sung) 
This 
pencil  belongs 
.  .  . 
Lexical 
Modifications 
fulfillment 
information 
apprehend 
excite 
aware 
impure 
Corrections 
*There  are  two  book  on  the  table. 
*He 
give 
me  the 
pencil. 
*Can 
you 
told  me 
your 
name? 
*He 
thinking 
about 
you. 
*Do 
you 
want 
go 
movies? 
*What  time  it? 
*He  ate  he  dinner. 
*She  dressed 
itself. 
Semantic  Associations 
entertainment 
free 
inaccurate 
admonishment 
obey 
Disambiguations 
growing 
corn 
shooting 
hunters 
hanging 
coats 
closing 
windows 
Repetition  of 
Semantic Anomalies 
The 
apple 
was  eaten 
by 
a  stone. 
The  book  is 
very  happy. 
The  table 
painted 
the  chair. 
Where  do 
you 
live. 
by 
the 
old, 
old  stream. 
Jingle  bells,  jingle  bells, 
jingle 
all  the 
way 
... 
Pencil 
belongs 
to 
you. 
(rest 
of  stanza 
sung) 
fulfill, 
fulfill 
informative 
apprehension 
exciting 
awareness 
pure 
There are 
few 
books on  the  table. 
He 
gave 
me  the 
pencil. 
Can 
you 
tell  me  your 
name? 
He  thinks about 
you. 
Do 
you 
want  to 
go 
to  a  movie? 
What  time  is  it? 
He  ate  his  dinner. 
She  dressed 
herself. 
card, 
entertainment 
free  .  .  . 
enterprise, 
free 
enterprise 
incorrect 
punish,  punish 
order 
grow,  grown  corn, 
corn 
hunters shoot 
hanging 
of  .  .  .  coats 
closing 
the 
window,  outing 
... 
window, 
look 
out  the  window 
Apple 
was  eaten 
by 
a  stone. 
The  book is 
very  happy. 
The  table 
painted 
the  chair. 
(adapted 
from H.  Whitaker 
1976) 
1. 
a. 
b. 
C. 
d. 
2. 
a. 
b. 
C. 
d. 
e. 
f. 
3. 
a. 
b. 
C. 
d. 
e. 
f. 
g. 
h. 
4. 
a. 
b. 
C. 
d. 
e. 
5. 
a. 
b. 
C. 
d. 
6. 
a. 
b. 
C. 
11 
TESOL 
Quarterly 
been 
variously 
called  "shallow"  or  "late" 
rules, 
can 
operate  independent 
of 
higher 
level 
grammatical  knowledge. 
H.  Whitaker 
(1976)  cautiously 
concluded  that  this  case  demonstrates  the 
need  to  differentiate  three  levels  of 
neurolinguistic  structure, 
as  outlined  in 
Figure 
3.  It  was  inferred 
that, 
in  this 
patient, 
LEVEL  I  and  LEVEL  II  were 
intact, 
but  that  LEVEL  III  was 
severely  impaired. 
As  Whitaker 
notes, 
the  tradi- 
tional  notion  of 
grammar encompasses 
both  LEVEL  II  and  LEVEL  III. 
FIGURE  3 
Three  Levels  of 
Neurolinguistic 
Structure 
LEVEL  Accurate 
auditory perception  SPEECH 
I  Accurate verbal 
production 
^ 
^A 
Intact 
phonological organization (phonemic  patterns, 
stress, 
and 
intonation, etc.); 
overlearned 
aspects 
of 
grammatical organization 
which  become  automatic 
v 
(late 
rules  of 
syntactic  agreement, 
function 
words, 
v 
LEVEL 
etc.);  probably 
certain semantic features of 
syntactic 
LANGUAGE 
II 
agreement, 
function 
words,  etc.;  probably 
certain 
(Automatic, 
^ 
semantic  features  of  lexical  items  in  addition  to 
nonvolitional) 
phonological 
ones  and  certain  overlearned 
phrases 
^ 
and  verbal  automatisms. 
LEVEL  Cognition,  intellectual  functions,  and  creative  aspects  LANGUA  LEVEL 
Cognition,  intellectual 
functions,  and creative 
aspects  LANGUAGE 
III 
of 
language.  (Creative, 
volitional) 
(H. 
Whitaker 1976: 
51) 
The 
significance 
of  this 
patient's 
residual 
grammatical  competence 
should 
be  considered  in 
light 
of  the 
long  history 
in 
aphasia 
research  of 
distinguishing 
between  automatic 
speech 
and 
propositional  speech, 
as  first 
emphasized  by  J. 
Hughlings  Jackson 
in  the  late  19th 
century  (see  Taylor  1932). 
More 
recently, 
Van  Lancker 
(1975) 
has  reviewed  this  issue  in  some 
detail, 
positing 
a 
complex 
continuum  between  the  two  extremes  of 
creative-voluntary-meaningful  proposi- 
tional 
speech 
on  the  one 
hand, 
and 
involuntary-less  meaningful 
automatic 
speech 
on  the  other.  In  a  later  section  we  shall  discuss  certain  ramifications of  the  dis- 
tribution  of 
speech 
and 
language 
functions 
along 
the 
automatic-propositional 
dimension. 
3. 
Speech  Copying 
Circuits 
In  order  to  better  understand  the  internal  information 
processing 
basis  for 
pattern-practice 
drills, 
it  is  useful  to  consider  broader 
aspects 
of  the  functional 
specializations 
of  the  nervous 
system. 
From  the  lowest  levels  of  neural 
organiza- 
tion, 
there  exist 
many 
functional 
systems 
whose 
specialized 
role  is  the  inter- 
coordination  and 
integration 
of  the 
separate 
activities  of 
sensory  processing 
channels  and  motor 
processing 
channels.3  For 
example, 
there  exists  a  cross- 
3 
Neural circuits which 
carry 
out such 
integrative activity may 
be 
abstractly 
characterized 
as  relational 
coding  maps, 
each 
particular map  being 
defined in  terms of  a  "source" realm 
(which 
is  the  Domain of  the 
map) 
and  a 
"goal" 
realm 
(which 
is  the 
Range 
of  the 
map). 
12 
Pattern  Practice 
channel  circuit  which  allows  the  human  infant  to 
develop  hand-eye 
coordina- 
tion, 
which  once 
developed,  permits 
the  infant  to 
efficiently  grasp 
an 
object 
presented 
in  the  visual  field. 
As 
early 
as  12-17 
days 
after 
birth, 
human  infants  show  the 
ability 
to  imitate 
lip  protrusion, 
mouth 
opening, 
and 
tongue  protrusion  (see 
Meltzoff 
1977). 
This 
capacity  clearly  requires 
the 
operation 
of  some  cross-channel circuit  in  the  sense 
defined 
here, 
but  manifests  the  additional  constraint  that  the  behavior 
output 
be  a 
reproduction, 
or 
copy, 
of  the  event 
perceived. 
As a 
subtype 
of  cross-channel 
circuit, 
we 
may  identify 
cross-channel 
copying 
circuits  as  a 
fairly 
common  func- 
tional  characteristic  of  the  vertebrate  nervous 
system. 
Within  the 
speech  processing  potential 
for  our 
species, 
there  are  found 
many  types 
of  cross-channel 
copying 
circuits.4 The  most  basic 
example 
of  such  a 
circuit  is  an 
auditory-vocal 
one  which 
may 
be 
presumed 
to  involve  a  flow  of 
information  from  Wernicke's 
area, 
perhaps 
via  the  arcuate 
fasciculus, 
to  Broca's 
area.  Based  on  this 
auditory-vocal 
circuit  we  have  the 
potential 
to 
reproduce 
a 
copy 
of 
perceived  phonological  image 
frames 
by  implementing 
a 
corresponding 
phonological 
movement  schema.  It  is  this 
speech-copying 
circuit 
which,  by 
definition, 
is  the  basis  of  our 
ability 
to  learn  to  shadow  the 
speech 
of  another 
person  quickly 
and 
efficiently,  repeating 
verbatim  what  has  been  said.5 
Such 
coding 
circuits must  be  understood as  functional entities 
which, 
while  correlatable to 
anatomical, physiological 
and 
electrophysiological  substrata, 
cannot be  localized within neural 
tissue  in 
any 
strict sense.  At  lower  levels  of  neural 
organization, coding 
circuits tend  to  be 
highly  specified 
in  the 
genetic  material, 
and  therefore 
develop 
in  the  individual 
organism 
without  the  need  for  environmental 
learning. 
At 
high  levels,  however, 
such 
mapping 
cir- 
cuits  often 
require 
a 
period 
of 
stochastic, 
trial-and-error 
learning 
as  the  means of 
modifying 
future behavior. 
Those  relational 
coding  systems 
which 
map 
from 
sensory input 
to  motor 
output may 
be 
viewed  as  cross-channel 
circuits, 
and  should be 
distinguished 
from the  cross-modal circuits 
which  for 
example, 
establish the 
equivalence 
relations between 
auditory 
and visual 
perceptual 
arrays. 
4 
At  some 
point 
after 
secondary 
neocortical 
systems 
become 
operational 
in  human neural 
maturation, 
the  infant attains the 
capacity 
to  construct and store in 
long-term memory 
certain 
representational 
information structures. Two 
major types 
of 
representational 
structures which 
may 
be  identified are movement 
schemata, organized by  systems involving 
anterior 
secondary 
motor 
regions 
of  the 
brain, 
and 
image frames, organized by 
neurofunctional 
systems 
involv- 
ing  posterior secondary sensory  regions  (see 
Lamendella 
1977). 
Based  on  these 
acquired 
information 
structures, 
adult  individuals  have  the 
ability 
to 
efficiently  recognize  complex 
events  and event 
sequences, along 
with the 
ability 
to 
produce 
skilled learned movements and 
movement 
sequences. Agnosia 
is  a 
neurological 
disorder which  disrupts 
the 
capacity 
to  access 
stored 
image 
frames 
(see 
Brown 
1972), 
and 
apraxia 
interferes with  the 
capacity 
to 
imple- 
ment  stored  movement  schemata 
(see 
Geschwind 
1975;  Johns 
&  LaPointe 
1976). 
Cross- 
channel 
copying 
circuits also  exist at  this 
representational 
level  and  allow 
us, 
for 
example, 
to 
reproduce 
complex 
hand  movements once 
they 
have  been 
perceived. 
Ideomotor 
apraxia 
is  a 
neurological 
disorder which  interferes 
specifically 
with  such 
representational 
cross-channel 
copying 
circuits 
(see 
Brown 
1972). 
5 
Many 
other 
speech copying 
circuits exist  and allow different combinations of 
input 
and 
output 
modalities to  be  coordinated. For 
example, 
there is  a  circuit which  allows us  to  effi- 
ciently  reproduce 
written 
material, 
often  in  the  absence of 
comprehension. 
It  is 
likely 
that 
this  circuit involves the 
supramarginal  gyrus 
in  the 
temperoparietal  region 
of  the 
brain, 
with 
impulses 
transmitted via  the  orbitofrontal  fasciculus to  a 
secondary 
motor 
region 
in  the frontal 
lobe  which  has  been  called  "Exner's 
Writing 
Center" 
(i.e., 
the  Middle  Frontal 
Gyrus, 
see 
Figure  1; 
see  Geschwind 
1972). 
Still  another circuit 
(or  perhaps 
this  same 
circuit) 
must be 
involved  in  the 
typist's  ability 
to 
quickly 
translate 
visually  perceived  graphological 
con- 
figurations 
into 
particular 
skilled movements of  the 
arms, 
and 
fingers 
in  order to  hit  the 
right 
keys 
in  the 
right sequence. 
In 
summary, then, 
it 
may safely 
be  concluded that at 
many 
levels 
13 
TESOL 
Quarterly 
The 
operation 
of this same circuit is 
impaired 
in conduction 
aphasia, 
since 
such 
patients 
not 
only 
cannot shadow other 
persons, 
but have 
great difficulty 
in 
reproducing  speech 
models in 
general. 
This 
speech copying 
circuit is 
preserved 
in  the  transcortical 
aphasias, 
even  while 
speech comprehension 
and/or 
speech 
production 
are 
severely impaired. 
An 
important 
characteristic  of  such 
copying 
circuits follows from the 
plau- 
sible belief that there is  often little value in 
involving systems 
at a 
higher 
level 
within the  same 
hierarchy. 
For 
example, 
if  a 
typist 
were to feel 
obliged 
to read 
and 
comprehend 
written material before 
hitting 
the 
appropriate keys, 
there 
would  be 
very 
few  100 
word-per-minute  typists. Impressionistically, 
in  close 
shadowing 
of  the 
speech 
of  another 
person, 
it  seems that 
comprehension 
of  a 
given 
sentence tends to  follow the actual 
production 
of that sentence. We 
may 
conclude that  it  is 
possible, 
and often 
adaptive, 
to 
functionally 
disassociate a 
copying 
circuit from 
higher systems 
within that same functional  domain. There- 
fore, 
the  disassociation of  the 
speech repetition 
function from 
language 
com- 
prehension 
and 
language 
formulation 
may 
be  assumed to  occur not 
only 
in 
pathological 
conditions such  as  conduction 
aphasia, 
but  also  as  an 
adaptive 
aspect 
of  normal human information 
processing. 
The  reader will 
perhaps 
not be 
surprised 
when I 
suggest 
that in  order to 
efficiently  perform  pattern-practice 
drills, 
it is 
helpful 
to 
functionally 
disassociate 
the 
speech copying 
circuit from 
higher-level language processing. 
It is 
precisely 
this "short  circuit"  which would facilitate the  fluid 
carry 
out of  choral and in- 
dividual 
performance 
on 
pattern-practice 
drills. There can be  little doubt that 
some subset of  second 
language 
learners  do disassociate  the 
speech copying 
cir- 
cuit 
during 
classroom 
practice, though 
it  would be  difficult to 
prove just 
how 
many 
do 
so, 
and how often. What I 
hope 
to do here is establish the 
plausibility 
of  such  a  functional disassociation 
being 
an 
integral part 
of 
pattern-practice 
drills in the classroom. 
To  establish this  claim 
beyond 
a  reasonable doubt  would  entail 
specific 
empirical 
confirmation  that the 
speech copying 
circuit itself 
possesses 
the 
poten- 
tial  to  learn to  control the  substitutions  and other 
manipulations 
characteristic 
of the sentences 
produced by 
students in 
response 
to the teacher's 
cueing during 
pattern-practice 
drills. I  feel  that belief in  this 
potential 
of  the 
speech copying 
circuit is  at  least 
partially supported 
since, 
as  the 
patient 
described 
by 
H. 
Whitaker 
(1976)  convincingly 
shows for the native 
language, speech processing 
at  this level  can in  fact muster a  certain level  of  lexical and 
syntactic compe- 
tence, 
including 
the 
potential 
to 
modify 
the word class of an 
input speech 
model. 
Over and above the 
capacities 
we  have attributed to  the 
speech copying 
circuit, 
the 
learning 
which takes 
place 
between the time a student first 
attempts 
a 
pattern-practice 
drill and the 
point 
at which the student becomes 
proficient 
at 
this endeavor seems to involve at least three 
processes: 
of  neurofunctional 
organization, 
and  in 
many 
functional domains 
including speech 
and  lan- 
guage, 
there  exist  information 
processing 
circuits which  allow  the  efficient behavioral 
repro- 
duction  of 
perceived sensory arrays. 
14 
Pattern Practice 
1)  making 
the 
appropriate 
identification  of the word class of the cued item. 
2)  matching 
the cued item with an element in the model sentence which is 
of the same word class. 
3)  inserting 
the cued item into the current 
phonological 
movement schema 
representation 
of the model sentence. 
Once 
mastered, 
these 
processes 
would not 
require 
conscious 
direction, 
and there 
is  no  reason 
why 
the  involvement of 
higher 
level 
language systems 
would be 
required 
for their execution. 
The 
hypothesized 
functional disassociation  between the 
speech copying 
cir- 
cuit  and 
higher-level language systems, 
done 
by 
some subset of  students as  a 
means of 
performing  pattern-practice 
drills more 
efficiently, 
would account for 
the 
impression 
of 
many 
teachers and students 
that, 
while 
engaged 
in 
pattern- 
practice drills, 
the student's  mind is often on other 
things. 
Thus 
far, 
the 
proposed 
information 
processing 
basis  of 
pattern-practice 
drills would not be 
particularly  upsetting 
to the traditional 
behaviorist/applied 
linguist 
belief  in  the 
utility 
of  mechanical drills. 
However, 
there remains the 
serious 
question 
of whether the  second 
language acquisition  process 
is 
actually 
facilitated or  inhibited 
by 
such 
drilling. 
Furthermore, 
it  is  not  at  all  obvious 
that 
pattern-practice 
exercises constitute useful 
practice 
of  TL 
grammatical 
knowledge 
once it  has been 
acquired. 
An 
adequate 
answer to these two crucial 
questions requires 
an 
explicit understanding 
of  how much and which 
types 
of 
grammatical  learning 
the 
systems 
at the level of the 
speech copying 
circuit are 
capable 
of 
achieving 
while  disassociated  from 
higher 
level 
systems 
within the 
relevant  functional 
hierarchy.  Additionally, 
we must understand  more 
thoroughly 
the  circumstances  under which 
any 
automation  of  behavioral 
sequences 
would 
take 
place 
as a direct result of the 
practice 
achieved 
by 
mechanical 
pattern-prac- 
tice drills. To 
approach 
these 
issues, 
I shall 
briefly 
discuss certain 
aspects 
of the 
automation  of  behavioral 
sequences 
in neurofunctional 
systems. 
4.  Automation in  Neurofunctional 
Systems 
When first confronted  with the  need to 
acquire 
new information  structures 
as  the  basis  for 
performing 
a  novel  behavioral 
task, 
a  learner must 
identify 
the  functional 
hierarchy 
best  suited to  this 
learning, 
then establish the 
appro- 
priate 
level and 
subsystems 
within the 
hierarchy 
with which to 
begin 
the learn- 
ing process. 
It  seems to  be  a 
general 
characteristic  of this 
type 
of 
learning 
that 
the  novel  behavioral task is 
initially 
carried out 
by 
the  executive 
component 
of  the 
responsible 
NFS 
operating 
in  the  monitor mode 
(cf. 
Lamendella 
1977; 
Selinker & Lamendella 
1978; 
cf.  also the "monitor  model" of Krashen 
1977). 
In 
part, 
because of  the 
high 
demands 
placed 
on  available 
processing 
re- 
sources, 
NFSs 
operate 
under the 
imperative 
to 
opt 
out  of  the  monitor mode 
when 
possible. 
One  of  the  two 
major ways 
of 
accomplishing 
this  involves a 
process 
of automation  in which the executive of the NFS directs the construction 
of information  schemata  stored as automated  subroutines  at a lower level within 
TESOL 
Quarterly 
the 
hierarchy.6 Many 
facets  of  overt 
speech  production 
and  covert 
speech 
com- 
prehension, 
once 
acquired  by  higher 
level 
systems, 
are 
likely 
stored  as  auto- 
mated  subroutines  at  lower  levels  within  the  communication 
hierarchy. 
Such 
subroutines 
may 
be 
implemented 
either 
automatically 
under 
pre-specified 
con- 
ditions, 
or  as  called 
up  by 
the  executive  which 
originally 
directed  their  con- 
struction. 
Automated 
speech  sequences 
tend  to  remain  intact 
despite 
a 
pathological 
disruption 
of  the 
higher 
level 
systems 
of  the  dominant 
hemisphere. 
The  emotion- 
charged  phrases 
and  other  automatic 
speech  phenomena 
discussed 
by 
Van 
Lancker 
(1975)  persist 
in 
many  aphasics 
as  residual  automated  subroutines 
controlled 
by 
intact  lower  levels  of  the  communication 
hierarchy. 
For 
many 
such  automatic 
speech  phenomena,  however, 
the  intact  lower  level 
systems 
do 
not  seem  to 
possess 
the 
capacity 
to 
carry 
out the initial 
learning. 
Once entrenched 
as  automated  subroutines  at  lower  levels  of  the  communication 
hierarchy, 
automatic 
speech  phenomena  may 
be  evoked  under 
appropriate 
conditions  de- 
spite 
their 
pathological 
disassociation  from 
higher-level  language  systems. 
For 
example, 
I  believe  the  most  reasonable 
working  hypothesis 
is  that  the  LEVEL 
II 
grammatical 
functions  which  remained  available  to  the 
patient 
described  in 
H.  Whitaker 
(1976) 
had  been 
initially  acquired  by 
the 
disrupted  higher-level 
systems, 
but  that  these  functions  had  been 
delegated 
as  automated  subroutines 
to  the  NFSs  based  in  the 
speech 
areas.7  The 
implications 
of  this  view  for 
pattern-practice 
drills  is  that  also  in  the  second 
language 
learner the 
acquisition 
of  lexical  and 
syntactic 
functions 
may 
derive  from 
language  systems 
above  the 
level  of  the 
speech 
areas  and  the 
speech  copying 
circuit. 
Any 
functional  dis- 
association  of  the 
speech  copying 
circuit  from  these 
higher 
level 
systems  during 
pattern  practice  certainly 
would  tend  to 
impede 
the 
process 
of 
secondary 
lan- 
guage  acquisition 
for  those  lexical  and 
syntactic 
functions 
beyond 
the 
learning 
potential 
of  the 
systems 
of  the 
speech 
areas. 
The 
precise  learning  potential 
of  those  functional 
systems 
at  the  level  of 
the 
speech  copying 
circuit  is 
by 
no  means 
clear, 
however.  It  is 
conceivable, 
for 
example, 
that  the 
speech  copying 
circuit 
plays 
a 
special 
role  in  the 
acquisition 
6 
Marr 
(1969) 
and  Blomfield & Marr 
(1970) 
have 
proposed 
that  the  cerebellum often 
serves as a memorization  device for motor actions 
initially organized 
elsewhere 
(cf. 
also Evarts 
1973).  Thus, 
for 
example, 
when first 
learning 
how  to  drive a 
car, 
the  actual 
driving 
is  carried 
out 
by  high 
level 
systems  operating 
in  the  monitor mode  with  conscious direction of  the 
many 
behavioral 
operations contributing 
to  this 
complex 
skill.  At  some 
point 
after 
enough 
practice 
has  been 
attained, 
neuromotor information schemata are automated at  lower 
levels, 
thus 
leaving higher 
level  consciousness available for attention to  other 
ongoing processing. 
7 
Thus, 
I  must 
disagree 
with 
any interpretation 
which  holds that the 
dichotomy 
between 
Whitaker's LEVEL  II  and  LEVEL  III 
grammatical 
functions 
ipso 
facto 
implies 
that  the 
speech  systems 
of  Broca's area  and 
Wericke's 
area  have  the 
responsibility 
for 
acquiring 
LEVEL  II 
grammar. During  primary language  acquisition, 
and 
by 
extension 
secondary 
lan- 
guage  acquisition, 
the  functional  roles  which 
may  legitimately 
be  ascribed  to  the 
speech 
NFSs  whose  major anatomical correlates reside within  the 
speech  regions 
exist for  the  most 
part 
at  the  level  of 
phonological representation 
of 
image 
frames  and  movement  schemata 
(roughly  corresponding 
to  Whitaker's LEVEL 
I).  During 
the 
period 
when  these  are  the 
highest 
level  communication 
systems operational 
in  human 
ontogeny-from 
about  12  montlhs 
postnatally-the 
child 
possesses 
neither  active  nor 
passive  syntactic 
or 
morphological 
com- 
petence  (Lamendella 1975). 
16 
Pattern Practice 
and  use 
by 
second 
language 
learners  of  the  "formulaic 
expressions" 
described 
by 
L.  Fillmore 
(1976) 
in  five  child  second 
language 
learners.8 
5. 
Pedagogical  Implications 
As 
previously 
noted,  pattern-practice 
drills  have  been 
pragmatically 
ob- 
served  to  fail  in 
accomplishing 
the 
goals 
set  for  them.  This  in 
itself 
is 
obviously 
a 
strong 
recommendation  for  their  discontinuation  as  a  central 
component 
of 
any  foreign  language  teaching 
curriculum. 
However, 
even  someone  who 
agreed 
that  such  drills  were  not  suited  to  the  initial 
learning 
of  TL 
grammar  might 
believe  that 
they 
should  be 
preserved 
in  the  classroom  because 
they  provide 
useful 
practice  leading 
to 
phonological  fluency 
and  the  automation  of 
already 
acquired  grammatical  patterns. 
While  at  first these  conclusions  seem 
reasonable, 
there  is  a  catch. 
Pattern-practice 
drills 
(and 
the  oral 
approach 
in 
general) 
prompt 
the  learner  to 
engage 
in 
Foreign  Language  Learning 
based  on  the 
cognition  hierarchy, 
rather  than  Second 
Language  Acquisition 
based  on  the 
communication 
hierarchy  (see 
Table 
2). 
Without 
special  training,  any  pho- 
nological  fluency 
or  automated 
grammatical 
skills  which  have  been 
acquired 
as 
part 
of 
Foreign  Language  Learning 
will  not  be  available  to  the  student 
except: 
(1)  automatically  during 
further  classroom 
drills; 
and 
(2) 
as  directed 
by 
the 
systems 
of  the 
cognition  hierarchy operating 
in  the  monitor mode.  In either 
case, 
the  student  loses. 
Even 
though 
the 
systems 
of  the 
speech 
areas  form 
part 
of  both  the 
cogni- 
tion 
hierarchy 
and  the  communication 
hierarchy, 
the  executive  functions  of  the 
communication 
hierarchy 
do  not  seem  to  have  the 
capacity 
to  call 
up 
automated 
subroutines  whose  construction  was  directed 
by 
the 
cognition  hierarchy. 
This 
partially 
accounts  for  the 
frequent 
observation  of  learners whose 
linguistic 
com- 
petence 
is 
drastically 
different for  real-world  communicative 
attempts 
versus  the 
sorts of  exercises  which 
frequently 
characterize the  formal classroom situation. 
These  conclusions 
apply 
not 
just 
to 
pattern-practice  drills, 
but  to 
any 
classroom 
activity 
which  does  not 
prompt 
the  learner to 
engage 
the  communica- 
tion 
hierarchy 
as  the  basis  of  second 
language  learning. 
Successful  classroom 
methods  from  this 
point 
of  view  would  be  those  which  were  so 
designed 
that 
the  neurofunctional 
systems 
of  the 
speech 
areas 
(and 
particularly 
the 
speech 
copying  circuit) 
could  not 
perform  successfully 
when 
functionally 
disassociated 
8 The  children observed 
by 
Fillmore 
(1976) 
seemed  to 
operate 
in  terms of  a 
strategy 
which 
prompted 
them  to 
reproduce 
certain 
useful,  situationally appropriate expressions 
as 
unanalyzed 
wholes 
(cf. 
also 
Huang  1971; 
Hakuta 
1974). 
Fillmore  concluded 
that, 
rather 
than  such  formulas 
being 
imitative behavior 
peripheral 
to  the 
acquisition process, they  may 
well  be  a  central 
part 
of  naturalistic 
language acquisition 
since  such 
expressions 
can 
provide 
both  a 
quick  entry 
into  social 
interchanges 
in  the  TL  and 
linguistic 
material 
upon 
which 
analytical learning 
activities  could  later be  carried out.  In  terms of  the  neurofunctional 
ap- 
proach 
described  in  this 
paper, 
it  seems  that  such 
speech 
formulas 
may 
be 
acquired 
as 
movement schemata at  the  level  of  the  classic 
speech  regions. Basically, 
what 
distinguishes 
them  from non-formulaic 
speech 
is  that 
they 
seem to  be 
mapped 
as a  unit 
directly 
into some 
semantic-conceptual representation 
without 
having 
undergone 
syntactic  analysis  by  gram- 
matical 
systems 
above the  level  of  the 
speech regions. 
Since 
pattern-practice 
drills are carried 
out  in  a  TL  social-interactive 
void, 
it  is 
probable 
that 
they 
could not  take 
advantage 
of  such 
formulaic 
learning,  although 
other  sorts of  exercises 
might 
well  be  able  to  utilize  this  im- 
portant 
facet  of 
language  acquisition. 
17 
TESOL 
Quarterly 
from 
higher-level  language processing  systems. 
Once TL 
grammatical  knowledge 
was 
acquired by 
these 
higher  systems 
within  the  communication 
hierarchy, 
further 
practice 
in 
communicating  would, 
it  is 
hoped, 
lead  to  the  automation 
of 
appropriate 
TL 
speech 
habits at lower levels. 
6. 
Summary 
The 
major 
reason 
why  pattern-practice 
drills fail to 
accomplish 
successful 
secondary language acquisition 
is  that 
they  prompt 
most  learners to 
engage 
functional 
systems 
which 
actually 
form an 
inappropriate 
basis for such 
learning. 
This conclusion should be  evaluated in 
light 
of  the  four 
working hypotheses 
which have been the focus of this 
paper: 
1.  Performance of  mechanical 
pattern-practice 
drills 
necessarily 
involves  a 
speech 
copying 
circuit  at  the  level  of  those 
speech  systems 
whose  anatomical  and 
physiological 
correlates are within  the  classical 
speech  regions, 
Broca's area and 
Wernicke's area. The 
speech  copying 
circuit allows  the  student to 
reproduce 
an 
input 
model sentence with 
incorporation 
of 
appropriate 
modifications as directed 
by 
the  teacher. 
2.  As  an  efficient means  of 
performing 
a 
repetitious cognitive 
task  not  related to 
communicative 
interactions, many 
learners 
functionally 
disassociate the 
speech 
copying 
circuit from 
higher 
level 
language systems during pattern-practice 
drills. 
3.  Since the 
systems 
of  the 
speech regions operate mainly 
at  the  level  of 
phonolog- 
ical 
representation, 
their  disassociation from 
higher-level  language  processing 
systems 
renders 
pattern practice 
an  ineffective basis for the 
acquisition 
of  lexical 
and 
syntactic grammatical 
functions. 
4.  It  is 
Secondary Language  Acquisition 
based  on  the  communication 
hierarchy 
which 
provides 
the  best  basis  for  communicative 
competence 
in  real-world 
conversational interactions.  For  most 
students,  pattern-practice 
drills  lead  to 
Foreign  Language  Learning 
in  which 
acquired 
behavioral subroutines for 
pho- 
nology 
or 
grammar  may 
be  evoked 
automatically only 
in  further classroom exer- 
cises.  Conversational interactions for  such  learners 
typically  require 
conscious 
direction, 
with 
speech 
behavior 
produced 
under  the  direction of  the 
cognition 
hierarchy. 
In 
consequence, 
the  student's 
performance 
does  not 
reliably 
lead  to 
communicative success. 
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agnosia.  Springfield, 
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19 
 
 
 
 
 
ULTIMATE ATTAINMENT 
IN L2 PROFICIENCY 
(PARADIS) 
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9>7FJ;H
Ultimate attainment in L2 prociency
It  is  no  longer  possible  to  speak  of  language  without  taking  into  consideration  the 
facts that (1) the language system is one component of verbal communication, (2) the 
language system contains dissociable modules that have their own intrinsic proper-
ties; and (3) implicit components of language are dierent in nature and subject to 
dierent types of control than explicit components (in particular vocabulary)  they 
develop independently of each other according to their own genetically programmed 
timetable, and are susceptible to dierent external factors. ese considerations are 
essential in the investigation of a critical period for language acquisition.
ere  are  basically  two  schools  of  thought  on  the  critical  period  hypoth-
esis: neuroscientists assume that there is some form of critical period that is too 
obvious  to  warrant  discussion,  let  alone  a  controversial  debate;  language  teach-
ers  and  social  psychologists  are  adamant  that  there  is  no  such  thing  as  a  critical 
period  and  refuse  to  even  consider  neurological  data.  e  term  critical  period 
is so controversial that it would be counterproductive to use it here. Suce it to 
mention the dierences between ultimate attainment in L2 as compared to L1 and 
investigate the neurophysiological factors that account for the readily observable 
and  widely  acknowledged  dierences.  In  many  animals,  it  has  been  shown  (and 
uncontroversially accepted) that neural circuits are shaped by experience during 
restricted  periods  in  early  life  (Yazaki-Sugiyama,  et  al.,  2007):  ese  include  the 
cat  (Hubel  &  Wiesel,  1962),  mouse  (Iwai  &  Lester,  2006),  and  some  songbirds 
(Hensch, 2004). It would be surprising if the human brain were exempt from such 
restrictions (though less surprising that their existence is not easily accepted  the 
wish for free will is overwhelming). If there is a critical period, it is certainly dif-
ferent from that observed in birdsong or cats ability to acquire the perception of 
vertical lines. For one thing, the human brain takes much longer to mature than any 
other animals, including other primates. erefore, the notion of an optimal period 
for acquiring languages will be proposed aer discussion of the available data.
e least controversial observation is that every individual without severe mental 
defects  has  acquired  a  native  language.  Some  have  even  acquired  two  or  more.  Not 
everyone who has acquired an L1 manages to acquire an L2. Some individuals nd 
it excruciatingly dicult and some never get beyond the most basic rudiments. Why 
is this so? e non-neurophysiological factors that are proposed by researchers are in 
fact, as we are about to see, direct consequences of a variety of neural underpinnings.
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::o  Declarative and procedural determinants of second languages
Not  just  the  manner  of  appropriation,  but  the  nature  of  what  is  appropri-
ated (competence vs. knowledge) is aected by age of L2 appropriation. Children 
exposed  to  L2  interaction  starting  any  time  before  the  age  of  4  or  5  (and  the 
younger  the  better)  acquire  the  second  language  implicitly,  like  the  rst,  using 
procedural memory. For example, early German-French bilinguals were found to 
have  no  problem  with  acquiring  French  gender  before  age  3,  but  to  have  prob-
lems when French is acquired aer the age of 3 (Mhring, 2001). Aer age 6 or 7, 
second language appropriation relies more and more on conscious learning, thus 
involving declarative memory.
:.   Ultimate attainment in L1 and L2
Birdsong (2006) remarks that there is a widespread belief that native-like attain-
ment by late L2 learners will be conned to one or a few tasks and that an individual 
will  not  display  native-likeness  across  the  full  range  of  linguistic  behaviors  or 
experimental  performances.  His  overview  of  empirical  ndings  does  not  show 
otherwise. Interestingly, Birdsong (2007) reports that most tasks on which late L2 
learners are able to approach or achieve native-likeness are o-line tasks. In any 
case, the learners oen do better on o-line tasks. Also, there seems to be no limit 
to  the  ability  to  learn  L2  vocabulary  (though  the  exact  semantic  boundaries  of 
words, their various connotations, and the constraints on their uses in proper con-
texts, which depend on experience (including incidental experience
1
) rather than 
explicit  instruction,  remain  incomplete).  is  would  suggest  that  there  is  some-
thing  peculiar  to  such  tasks.  One  aspect  worth  considering  is  that  o-line  tasks 
are  known  to  rely  on  explicit  knowledge,  hence  on  declarative  memory  rather 
than implicit competence. is might imply that, perhaps, the capacity to acquire 
implicit linguistic competence is susceptible to decline with increasing age of onset 
of L2 appropriation.
Whether  there  is  a  critical  or  sensitive  period  or  a  gradual  decline  up  to  a 
certain age, there appears to be a rather early age aer which a second language 
does not reach native-likeness in all aspects of use, as shown in Birdsongs (2006) 
overview and (2007) presentation. is is not to say that, aer many years of total 
immersion  and  practice,  L2  never  becomes  very  close  to  native-like  in  many 
aspects  suciently so for everyday practical purposes.
:.  New  words  can  be  acquired  incidentally  when  listening  to,  and  reading,  a  story  while 
focusing on comprehension. e meaning of words is learned even if one does not remember 
having encountered them in the text (Horst, Cobb, & Meara, 1998).
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  Chapter 4.  Ultimate attainment in L2 prociency  :::
Birdsong  proposes  that  there  may  not  be  a  single  linguistic  task  that  some 
individual cannot fully master (in relative isolation) in L2. is means that, in prin-
ciple, any given linguistic task can be mastered by someone. But there denitely 
seems  to  be  a  dearth  of  individuals  able  to  master  all  components.  Native-like 
prociency in the second language is almost never acquired and second-language 
processing is slower (Toppelberg, 1997). Why should this be?
Dierent individuals are able to deal with any one or two components of sec-
ond language processing, but not all components at the same time. is suggests 
that  these  individuals  are  not  able  to  consciously  control  so  many  components 
simultaneously, and hence at least some components are not automatized. Let us 
remember that divided attention (i.e., having to pay attention to more than one task 
at  the  same  time)  interferes  with  performance  on  explicit  tasks,  not  on  automa-
tized processes: A native speaker has no problem processing in parallel the various 
phonological,  morphological,  and  syntactic  components  during  lexical  retrieval. 
At the very least, this is an indication that a dierent mechanism is at work, at least 
partially, in L2 processing  and a good candidate is the use of declarative memory 
to compensate for the gaps in L2 implicit linguistic competence.
According  to  Roehr  (2008a),  implicit  linguistic  competence  is  stored  in  and 
retrieved  from  an  associative  network  during  parallel  distributed  processing, 
whereas explicit knowledge is processed sequentially with the help of rule-based 
algorithms. e dierence in kind between these two processes results in phonol-
ogy, morphology, syntax, and lexical retrieval being processed in parallel (hence 
simultaneously)  by  linguistic  competence,  while  metalinguistic  knowledge  is 
processed  only  one  item  at  a  time;  metalinguistic  knowledge  requires  attention, 
whereas linguistic competence does not.
Studies that specically examine the ability of L2 users to pass for native speak-
ers indicate that passing for a native speaker is a temporary, context-, audience-, 
and  medium-dependent  performance  (Piller,  2002;  Marinova-Todd,  2003).  is 
reinforces the notion that even expert L2 users performance is controlled to some 
extent  (i.e.,  not  as  automatic  as  native  speakers),  as  previously  suspected,  given 
that a late-learned L2 is more vulnerable to noise, fatigue, stress, and declarative-
memory impairments (amnesia, Alzheimers disease, even normal aging). It is also 
positively related, among other things, to amount of formal L2 study and level of 
formal education (Marinova-Todd, 2003), factors that do not aect the acquisition 
and concurrent use of phonology, morphology, syntax and pragmatics of L1.
Many  studies  do  show  that  adults  are  able  to  learn  one  or  another  aspect  of 
language to a native-like level, independent of the other components of grammar. 
In L2, dierent components of the implicit language system are appropriated inde-
pendently  of  each  other  at  dierent  rates  and  to  dierent  extents.  is  contrasts 
with the way very young children simultaneously acquire phonology, morphology 
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::i  Declarative and procedural determinants of second languages
and  syntax  without  paying  attention  to  these  components,  while  focusing  their 
attention on the semantic and pragmatic aspects of verbal communication.
Typically, when one skill component has been mastered in a second language, 
it is aer much concentration on that particular component, independently of all 
others. Eort, hence conscious control, is exerted in developing a particular lan-
guage component in a way that is not the natural way of developing implicit lin-
guistic competence. e latter is achieved by developing the various components 
of language structure in parallel, incidentally, without paying attention, and with-
out focusing ones eorts on any specic subcomponent (phonology, morphology, 
syntax, semantics and the grammatization of the lexicon). ey are all internalized 
simultaneously  (possibly  at  dierent  levels  of  development  in  each,  but  concur-
rently nevertheless). us, they are integrated into implicit linguistic competence 
and can be used in unison when performing the normal task of comprehending 
and producing the complex construct that an utterance represents, with each part 
contributing  to  the  whole  (prosody,  segmental  phonology,  morphology,  syntax, 
lexicon). Moreover, each component is selected automatically in accordance with 
the pragmatics of the situation, including the intention to communicate a particu-
lar  message,  modulated  by  the  specic  situational  context,  the  knowledge  of  the 
interlocutors beliefs, and placing emphasis on the appropriate concept through all 
means aorded by the grammar  i.e., prosody, word order, inectional morphol-
ogy, loudness, speed of delivery, etc.
In  Marinova-Todds  (2003)  study,  some  L2  learners  failed  to  achieve  native-
like  levels  of  prociency  in  grammar  knowledge,  but  scored  within  the  native 
range  on  pronunciation  measures,  whereas  other  L2  learners  achieved  native-
like  scores  on  grammar  measures  and  failed  to  achieve  native  accent  in  the  L2. 
us, some highly procient L2 speakers tend to be stronger in some areas of L2 
knowledge and weaker in others, and score within the native range in only some 
domains, which means that they have not internalized the L2 as a whole. When 
much  eort  is  exerted  on  one  particular  aspect,  it  may  reach  native  levels,  but 
it  is  a  skill  that  is  not  integrated  into  the  general  implicit  linguistic  competence 
system for that language. In this study, out of a group of 30 participants selected 
from  among  very  highly  procient  L2  speakers,  only  3  participants  consistently 
achieved scores within the native range. And even then, scores within the native 
range  do  not  necessarily  imply  that  these  participants  used  the  same  means  to 
achieve similar results.
e reasoning that, because some individuals are able to attain native-likeness 
in some aspects of L2 performance, it can be assumed that it is possible for some 
individuals to attain native-likeness in all language tasks, is fundamentally awed. 
Normal  language  performance  incorporates  all  components  and  puts  them  into 
action  simultaneously.  is  is  made  possible  because  the  various  integrated 
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  Chapter 4.  Ultimate attainment in L2 prociency  ::
functions are automatic, without conscious control, in which case, there is no dis-
persion of eort.
As Hyltenstam and Abrahamsson (2003) point out, the subtle dierences that 
seem to exist between native and native-like prociency are probably highly insig-
nicant in all aspects of the second language speakers life and endeavors, although 
very signicant for a theory of human capacity for language learning (p. 580).
i.   e optimal period
e notion of optimal period retains the general characteristics of the traditional 
critical  period  (it  applies  to  skills,  it  is  time-sensitive  (if  not  time-locked)  and 
depends on properties of the brain), but is more exible in that it is not categorical 
(all-or-nothing) and admits of variability among individuals with respect to matu-
rational deadlines and length of developmental stages (themselves determined by 
complex interactions between genetic and experiential factors). e fact that there 
are (rare) exceptions does not mean that there is not a general principle at work. 
(Some sheep are born with ve legs;
2
 this does not prevent encyclopedias and vet-
erinary handbooks from describing sheep as four-legged.)
In  the  context  of  interest,  the  optimal  period  hypothesis  thus  applies  to 
implicit linguistic competence, which depends in large part on the expression of 
the gene FOXP2. e gradual decline in procedural memory for language forces 
late second-language learners to rely on explicit learning, which results in the use 
of  a  dierent  cognitive  system  from  that  which  supports  their  native  language. 
It  is  the  acquisition  of  implicit  competence  that  is  aected  by  age,  both  biologi-
cally (gradual loss of plasticity of the procedural memory for language aer about 
age  5)  and  cognitively  (greater  reliance  on  conscious  declarative  memory  for 
learning in general and, consequently, for learning a language from about age 7). If 
we assume that normal language acquisition and use refer to the incidental inter-
nalization  and  automatic  use  of  implicit  linguistic  competence,  then  an  optimal 
period aects the acquisition of language. It is a gradual process within a window 
between the ages of 2 and 5 years, give or take a few months in view of the con-
siderable  interindividual  variability  in  the  rate  of  maturation  in  general  and  of 
development  of  the  language  areas  in  particular.  In  fact,  even  birdsong  critical 
periods are not chronologically invariant and their duration can be regulated by 
the amount of tutor song exposure, vocal practice, and the brains steroidal milieu 
(Mooney, Prather, & Roberts, 2008).
i.  One specimen is exhibited at the Muse Cantonal de Zoologie, Lausanne, Switzerland.
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::|  Declarative and procedural determinants of second languages
Human FOXP2 is a gene whose integrity is necessary (but not sucient) for 
the acquisition of implicit linguistic competence. It determines the expression of 
various genes at specic times during brain development and at diverse time-points 
during the lifetime of an organism (Marcus & Fisher, 2003), including that of areas 
of the cerebellum and basal ganglia that subserve the acquisition and subsequent 
processing  of  implicit  linguistic  competence.  Its  mutation  (or  a  lack  of  exposure 
to language input at the time of its programmed triggering of the relevant genes) 
disrupts language acquisition. Individuals must then have recourse to compensa-
tory mechanisms in order to appropriate language through learning.
e optimal period thus refers to the period during which individuals must 
be  exposed  to  language  interaction  if  they  are  to  acquire  linguistic  competence. 
is  period  has  an  upper  limit  that  varies  with  respect  to  which  component  of 
the implicit language system is acquired, namely, in chronological order, prosody, 
phonology, morphology, and syntax (including syntactic features of the lexicon). 
But the vocabulary, that is, the sound-meaning pairing of words, is conscious and 
hence subserved by declarative memory; consequently, it is not susceptible to the 
optimal periods that apply to the various components of implicit competence.
Systematic  performance  in  real-time
3
  language  processing  is  the  litmus  test  of 
implicit linguistic competence. Age of exposure during language acquisition seems 
to  have  a  dramatic  impact  on  the  subsequent  real-time  processing  of  sentences 
(Friederici,  Steinhauer,  &  Pfeifer,  2002:  529).  e  optimal  period  that  applies  to 
implicit linguistic competence can be masked to some extent by reliance on compen-
satory mechanisms whose control can be considerably speeded-up. To the extent that 
procient L2 is subserved by declarative memory, it is not susceptible to the optimal 
period. Not only does L2 performance dier from L1, but it diers along the implicit/
explicit dimension. Given that vocabulary learning is sustained by declarative mem-
ory (in both L1 and L2), there is no optimal period for learning new words or explicit 
grammatical rules, except for the gradual decline of declarative memory function with 
advanced aging, culminating in senility (and accelerated in Alzheimers disease).
.   Optimal window of opportunity
To  ascertain  the  learners  potential  in  post-adolescent  L2  acquisition  is  a  legiti-
mate goal and a commendable enterprise. e very fact that the question is posed 
.  As opposed to o-line, when individuals have the opportunity to consciously control 
what they are doing (or saying), as in written tasks in general and grammaticality judgment 
tasks  in  particular.  Tasks  performed  in  real  time  (i.e.,  on-line  tasks)  are  assumed  to  be 
performed automatically. 
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  Chapter 4.  Ultimate attainment in L2 prociency  ::,
highlights the fact that there is a dierence between implicit linguistic competence 
attainment in L1 and L2. One would not propose to study the potential for native 
language  acquisition  in  normal  (i.e.,  not  brain-damaged  or  profoundly  mentally 
impaired) individuals without FOXP2 genetic anomaly. Note that although rich-
ness of vocabulary varies between native speakers, the ability to fully acquire the 
basic phonology, morphology, and syntax of the individuals topo-/sociolect does 
not. ere are indeed dierences in what individuals can do with their native lan-
guage, in how colorfully they are able to express their ideas, but all have mastered 
the components of the implicit grammar of their language and are able to use them 
simultaneously to understand and produce utterances automatically. at means 
that their output is consistent, that is, without variability: they do not vibrate their 
vocal aps for the right number of milliseconds or place the adverb in the correct 
position only 75% of the time (or above chance, as is oen reported with obvious 
satisfaction in L2 studies, incorrectly interpreted as evidence of incorporation of 
the tested element into the subjects implicit competence). If one day you started 
violating subject-verb agreement 25% of the time, your close friends and relatives 
would no doubt be alarmed.
ere  seems  to  be  a  period  from  birth  to  age  4  or  5  aer  which  native- 
likeness  becomes  progressively  rarer  and  attainment  less  successful.  In  other 
words, between the ages of 2 and 5, children acquire the basic grammar of their 
native language(s). When individuals are exposed to a second language aer that 
age,  native-likeness  is  rarely,  if  ever,  achieved  on  all  language  tasks  even  though 
behavioral measures may improve especially aer years of total immersion in an 
L2 environment. But as Birdsong (2006) rightly points out, native-likeness at the 
L2 acquisition end state does not imply access to Universal Grammar (or implicit 
linguistic  competence)    especially  in  the  light  of  better  results  on  o-line  than 
on-line tasks and poorer results on those aspects that are more dicult to control 
consciously (e.g., phonology) than on those like syntax, where surface word order 
and  other  features  are  observable  and  can  be  volitionally  controlled  (and,  with 
practice, speeded up).
Based  on  their  study  of  Nicaraguan  sign  language  (and  on  studies  by  Kegl, 
Senghas,  &  Coppola,  1999;  Newport,  Bavelier,  &  Neville,  2001;  Senghas  & 
Coppola,  2001;  and  Mayberry,  Lock,  &  Kazmi,  2002),  Morgan  and  Kegl  (2006) 
estimate  the  window  of  time  for  language  acquisition  to  be  less  than  6  years  for 
native-like acquisition, and less than 10 to gain some acquisition benets.
According to Mayberry et al. (2002), language learning ability is determined 
by the onset of language experience during early brain development, independent 
of  the  modality  of  experience  (spoken  or  ASL).  e  ability  to  acquire  language 
arises from a synergy between early brain development and language experience. 
It  is  seriously  compromised  when  language  is  not  experienced  during  early  life. 
e timing of the initial language experience during human development strongly 
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::o  Declarative and procedural determinants of second languages
inuences  the  capacity  to  learn  language  throughout  life.  Newman  et  al.  (2002) 
have demonstrated that the right hemisphere angular gyrus is active during ASL 
processing only in native signers. Right-hemisphere damage in native signers leads 
to impairments in the processing of syntactic constructions and classiers that rely 
on spatial relationships. is region is less susceptible to modication by experi-
ence aer puberty. Adolescent ASL rst-language learners cannot process the lan-
guage as eciently as native signers due to their lack of grammatical competence 
and related problems in processing (Morford, 2003).
Similarly,  Grimshaw  et  al.  (1994,  1998)  describe  the  case  of  a  young  man 
who,  profoundly  deaf  since  birth,  was  tted  with  auditory  aids  at  the  age  of  15. 
His  subsequent  language  development  has  demonstrated  growth  of  vocabulary 
and semantically related syntax, but he has considerable diculty with syntactic 
structures  that  cannot  be  semantically  mediated.  e  authors  conclude  that  his 
development is consistent with the hypothesis that there is a critical period for rst 
language acquisition, especially with respect to syntax. ey point out that indi-
viduals who were not exposed to language until aer the optimal period present 
a  failure  to  comprehend  some  syntactic  structures  (pro-forms,  movement  rules, 
verb tense) and a large disparity between comprehension and production (thanks 
no doubt to the availability of context and pragmatic cues).
Mayberry (1993) investigated whether the long-range outcome of L1 appro-
priated  aer  early  childhood  is  similar  to  that  of  L2  learning  in  deaf  individu-
als.  Participants  born  with  normal  hearing  subsequently  lost  in  late  childhood, 
who had then learned ASL, outperformed those who appropriated ASL as a rst 
language at the same age. Moreover, the performance of the latter declined with 
increasing  age  of  appropriation.  Similarly,  children  who  had  otitis  at  age  1  have 
identiable  language  decits  at  age  9  (Hyltenstam  &  Abrahamson,  2003).  e 
authors consider that these data support the notion of an optimal period beyond 
which a natural language can no longer be normally acquired.
In  the  study  by  Rnnberg  et  al.  (2004),  only  the  subgroup  of  subjects  who 
started sign language at birth (as opposed to those who started at primary school) 
evinced a clear le-hemisphere dominance for a working memory task performed 
in sign language, in line with the ndings for working memory in spoken language. 
ose who started learning sign language at school seemed to apply explicit treat-
ment to the visuospatial processing involved in generating the virtual spatial array 
needed to complete working memory tasks in sign language, rather than handling 
it implicitly as the early bilinguals did. e authors suggest that the dierence in 
their results for the two groups might reect an age-of-acquisition eect.
As delay in exposure to a rst language increases, accuracy of grammaticality 
judgments  decreases,  independent  of  ASL  syntactic  structure.  e  onset  of  rst 
language  acquisition  aects  the  ultimate  outcome  of  syntactic  knowledge  for  all 
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  Chapter 4.  Ultimate attainment in L2 prociency  ::
subsequent language acquisition (Boudreault & Mayberry, 2006: 608). Adults have 
largely  lost  the  ability  to  learn  a  language  without  reecting  on  its  structure  and 
have to use alternative mechanisms to learn a second language (DeKeyser, 2000). In 
Harley and Harts (1997) study of students enrolled in L2 early (starting in grade 1) 
and late (starting in grade 7) immersion programs, analytical language ability (rely-
ing  on  conscious  memory)  was  the  only  signicant  predictor  of  L2  prociency 
(tested in grade 11) in the case of late but not early immersion students.
Ross  and  Bevers  (2004)  study  comparing  the  sensitive  period  for  language 
acquisition  in  two  populations  of  deaf  individuals  (with  familial  right-  or  le-
handedness) found that when both populations are exposed to language in early 
childhood,  comparable  levels  of  prociency  are  attained.  However,  individuals 
with familial le-handedness show evidence of a shorter sensitive period. Age of 
acquisition rather than years of experience determined sign language prociency. 
is suggests that genetic factors are involved that apply to both handedness and 
language, and that their expression is sensitive to time of rst language exposure.
Sundara  and  Polka  (2008)  have  shown  that  advanced  early  L2  learners  (i.e., 
L2  exposure  onset  by  5  or  6  years  of  age)  discriminated  /d/-initial  syllables  in 
Canadian French (dental /d/) and Canadian English (alveolar /d/) in a way con-
sistent  with  a  merged  category,  whereas  simultaneous  bilinguals  were  at  least  as 
good  at  discriminating  between  them  as  unilingual  speakers.  is  suggests  that, 
at  least  at  the  phonological  level,  simultaneous  bilinguals  acquire  each  language 
as unilinguals do, whereas early L2 learners do not. Even by 6 months of age, well 
before word meanings are acquired, infants phonetic perception has been altered 
by exposure to a specic language, which results in language-specic prototypes 
that assist infants in organizing speech sounds into categories (Kuhl et al., 1992).
e  claim  is  not  that  adults  cannot  master  foreign  languages,  but  that  their 
achievement  is  mainly  the  result  of  conscious  learning  and  conscious  control  of 
their  output.  Aer  many  years  of  total  immersion  in  an  exclusively  L2-speaking 
environment,  without  contact  with  speakers  of  L1,  some,  possibly  most,  of  the 
components  of  implicit  linguistic  competence  may  eventually  be  automatized. 
As Hyltenstam and Abrahamson (2001) point out, even late learners can achieve 
native-like  behavior  for  individual  tasks,  structures,  or  domains.  Nevertheless, 
published  studies  have  still  not  identied  a  single  adult  learner  who  is  indistin-
guishable from a native speaker in all relevant aspects of the L2.
|.   e optimal period is restricted to implicit linguistic competence
e optimal period applies to the normal acquisition of language, which results in 
implicit  linguistic  competence.  But  language  can  also  be  learned,  using  cerebral 
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::8  Declarative and procedural determinants of second languages
mechanisms  other  than  those  used  to  acquire  implicit  linguistic  competence, 
and resulting in conscious knowledge about form, namely explicit metalinguistic 
knowledge that can be mastered to a high degree of prociency. Its controlled use 
can be suciently speeded up to be perceived as native-like  as is the case with 
the L1 of intelligent genetic dysphasic individuals (Paradis & Gopnik, 1997).
e  use  of  declarative  memory  to  compensate  for  gaps  in  L2  implicit  com-
petence  is  reected  in  the  considerable  inter-individual  variability  in  attainment 
between late L2 learners  compared to considerable inter-individual homogene-
ity in the acquisition of the native language(s)  the greater reliance on working 
memory,  the  role  of  education,  the  success  in  semantics  relative  to  syntax  and 
phonology,  the  success  in  o-line  relative  to  on-line  tasks,  the  decline  with  age, 
and in general, the ease with L1 vs. the diculty with L2.
|.:   Inter-individual variability in attainment
Acquisition via procedural memory is available to everyone up to about 5 years of 
age, aer which the use of procedural memory to acquire language rapidly declines 
and  individuals  rely  on  declarative  memory.  Note  that  the  decline  in  the  use  of 
procedural memory when appropriating a second language is not necessarily due 
to a deciency in procedural memory for language per se (though it may be at least 
partially  so),  but  possibly  also  to  a  number  of  psychological  factors  such  as  the 
propensity  to  use  general  learning  ability  (as  applied  to  the  many  other  things 
learned from that age on), the presence of the L1 system and the general diculty 
of acquiring new habits of the same general kind as existing ones (e.g., for a tennis 
champion to acquire badminton skills), which drives the speaker to continue to rely 
on  L1  procedures  when  generating  L2  sentences  (at  each  level  of  language  struc-
ture) and to apply L1 meanings to quasi-equivalent L2 lexical items.
Some  implicit  linguistic  competence  in  L2  can  probably  be  acquired  in 
certain  aspects  of  linguistic  structure  (syntax,  morphology,  phonology,  in  that 
order  of  probability)  though  not  completely  at  any  level.  is  is  one  reason  why 
there  is  great  variability  in  individual  success  at  learning  a  second  language.  By 
contrast, any one without severe mental retardation and with an intact FOXP2 gene 
acquires a rst language fully and easily, with hardly any inter-individual variation. 
Learning a second language is dependent on general intellectual capacity  and is 
positively correlated with the individuals IQ (Mayberry, Taylor, & Obrien-Malone, 
1995),  another  source  of  variance.  Extensive  practice  over  long  periods  of  time 
may help with the acquisition of some components of the grammar and speed up 
the controlled use of the rest. Some rare L2 speakers may achieve native-like pro-
ciency  (i.e.,  mastery  of  phonology,  morphology,  syntax  and  the  lexicon)  but  by 
other means (cf. Rieber & Vetter, 1995).
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  Chapter 4.  Ultimate attainment in L2 prociency  ::
As  Hyltenstam  and  Abrahamsson  (2003)  point  out,  adult  learners  do  not 
acquire  a  second  language  from  mere  exposure  but  learn  it  indirectly.  Young 
learners perform more similarly to each other whereas older learners show greater 
variation in their rate of appropriation and their ultimate attainment in their L2 
(Marinova-Todd, Marshall, & Snow, 2000, 2001).
Speakers process a late-learned second language dierently than their native 
language and the resulting performance is rarely (if ever) the same. Even if their 
second-language  production  and  comprehension  were  observably  identical  to 
those of L1 speakers, the fact that they use speeded-up control rather than auto-
matic processing would be evidence that, aer a certain age, one has to resort to 
an altogether dierent processing mechanism because the acquisition of implicit 
competence is no longer possible (or extremely time-consuming and inecient). 
Whereas procedural memories are more resistant to loss over time than declara-
tive memories (which are especially vulnerable in aging), procedural memory for 
language acquisition becomes less ecient and takes longer with increasing age  
for a number of reasons, including L1 entrenchment as discussed below.
Even  when  the  second  language  is  acquired  at  a  very  early  age,  dierences 
between  the  processing  and/or  representation  of  L1  and  L2  have  been  reported. 
Perani  et  al.  (2003),  for  instance,  found  that  bilingual  speakers  who  had  been 
exposed  to  the  second  language  from  the  age  of  3  (and  who  had  used  both  lan-
guages in daily life ever since, with comparable levels of prociency in the com-
prehension  of  both)  showed  less  extensive  cerebral  activation  during  lexical 
search  and  retrieval  in  the  language  acquired  rst,  suggesting  that  additional 
resources were recruited within a dedicated network when generating words in L2. 
(See Mack, 1984, 1986, for experimental evidence of dierences in relatively early 
bilinguals.)  Even  individuals  with  a  very  young  onset  of  L2  experience  diverge 
at  the  level  of  ne  linguistic  detail  from  native  speakers  (Singleton,  2001).  With 
respect to some measures of phonetic performance, extremely early exposure is 
required to perform like native unilinguals (Mack, 2003).
ere are at least two possible basic reasons for deviance from the native norm 
in early L2 acquirers: (1) the quality of the L2 spoken in the childs environment 
(parents, relatives, sometimes a whole immigrant community), which becomes the 
norm for the acquirer (just as students in Montreal immersion classes in the sixties 
picked up the pidgin of their peers
4
); (2) generalization across the two language 
|.  e usefulness of form-focused instruction, as discussed in Chapter 3, is exemplied in 
the success of the more recent introduction of explicit grammar in immersion classes where, 
before, high levels of uency were accompanied by notoriously poor accuracy (Lyster, 1990, 
2004; Spada, 1997; Day & Shapson, 2001; Jean, 2005).
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:io  Declarative and procedural determinants of second languages
subsystems and inuence of the items rst acquired and most oen activated on 
the corresponding items in the other language.
e  undeniable  inuence  of  social  and  educational  variables  on  L2  appro-
priation  at  a  later  age  stems  from  a  fundamental  neurobiological  phenomenon, 
namely  the  apparent  gradual  (or  not  so  gradual)  loss  of  the  ability  to  acquire 
language incidentally, to use procedural memory so that it would become avail-
able for automatic use. is inability is compensated for by relying on conscious 
learning,  using  declarative  memory.  e  numerous  causes  of  inter-individual 
dierences in attainment are a direct result of a number of internal and external 
factors
5
 to which the acquisition of a native language is impervious.
|.i   e impact of working memory and level of education
In tasks that tap working memory and episodic memory (i.e., that rely on declara-
tive  memory),  there  is  an  observed  performance  decline  with  age,  whereas  on 
tasks involving procedural memory, age-related eects, when observed, are com-
paratively mild (Birdsong, 2006). Yet, it is on tasks involving procedural memory 
par  excellence  (e.g.,  pronunciation,  but  also  automatic  (hence  systematic)  use 
of  all  aspects  of  the  grammar),  that  late  L2  learners  do  worst.  is  again  sug-
gests, consonant with the reported relatively low degree of automaticity in L2 
(Birdsong,  2006:  29),  that  some  of  the  language  processes  that  are  sustained  by 
procedural  memory  in  L1  are  dependent  (at  least  in  part)  on  declarative  mem-
ory  in  L2    especially  when  one  considers  that  the  entorhinal  cortex  and  hip-
pocampus appear to incur greater annual shrinkage than other areas of the brain 
(Birdsong,  2006:  31).  is  decrease  is  linked  to  age-related  cognitive  decits 
across  domains  such  as  working  memory  and  executive  function  (p.  33),  both 
involved  in  explicit  tasks.  Declines  in  the  anterior  cingulate  cortex  (p.  33)  are 
related to problems with conscious control. It is noteworthy that executive con-
trol processes associated with prefrontal and cingulate cortices can operate only 
on consciously perceived stimuli (Dehaene & Changeux, 2004: 1152). ese data 
would  suggest  that  adults  have  recourse  to  declarative  memory  to  learn  (rather 
,.  Internal: Cognitive style, motivation, attitude, aptitude, IQ, level of education.
External:  age  at  exposure,  degree  of  exposure  relative  to  L1,  degree  of  exposure  to  L1 
during the appropriation of L2, high-/low-prestige status of L2 in the community, ethnic and 
political factors associated with L2, structural distance between the languages, quality of the 
L2 spoken in the individuals environment. 
Internal and external factors interact in that, for instance, the sociolinguistic and political 
status of L2 will aect an individuals attitude and motivation. e level of education, imposed 
by external circumstances, nevertheless has an impact on the individuals ability to learn, in 
that it develops reasoning capacity. 
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  Chapter 4.  Ultimate attainment in L2 prociency  :i:
than acquire) a second language, and that this task becomes more dicult with 
age as the underlying cerebral structures that sustain declarative functions wane.
In  a  pilot  experimental  investigation,  Fehringer  and  Fry  (2007)  found  that 
highly  procient  German  speakers  of  English  produced  a  signicantly  higher 
overall  rate  of  hesitation  phenomena  in  their  second  language  than  in  their  rst 
(p  =  .000).  e  dierence  was  most  noticeable  in  the  types  of  phenomena 
(repetition, corrections, expansions) that would indicate extra planning demands, 
as shown by the increased necessity for reformulation in L2. is is taken to indi-
cate  that  an  additional  cognitive  load  was  imposed  by  working  memory  in  L2. 
e  tasks  that  showed  signicant  dierences  between  languages  are  the  ones 
that  demand  most  attention.  In  L1,  greater  production  of  optional  complemen-
tizer  phrases  (whose  embedding  is  considered  a  particularly  demanding  task)  is 
signicantly  correlated  (p  =  .033)  with  fewer  hesitation  phenomena  (suggesting 
automatic  processing)  whereas  in  L2  the  correlation  is  not  signicant.  Working 
memory scores were signicantly higher in L1 than in L2 (p = .005). To account 
for  the  interference  from  L1,  which  plays  an  important  role  in  constraining  the 
native-like  performance  of  L2  speakers,  the  authors  surmise  that  speakers  with 
poorer  working  memory  resources  for  L2  are  likely  to  nd  it  dicult  to  control 
their language subsystems: the native language that is supposed to be suppressed 
might  interfere  with  the  second  language  that  is  selected  for  use.  Factors  other 
than working memory that may have inuenced the results, such as depletion of 
energy and anxiety are also indicative of extra reliance on consciously controlled 
processes  (Dewaele,  2007).  Fehringer  and  Fry  observe  that  their  subjects  L2  is 
not  quite  the  same  as  their  native  language  in  spite  of  their  extremely  high  level 
of ability in L2 grammar. ey conclude that, in fact, L2 users rarely reach a level 
of uency approaching that of native speakers. Speakers are said to need to work 
harder in order to display ease and uency in their second language; L2 working 
memory  may  lack  sucient  attentional  resources.  Interestingly,  eort  and 
attention are associated with conscious, non-automatic processes.
Level of education is oen cited as a signicant predictor of high prociency 
achievement in L2. e advantage gained by the study of L2 as a foreign language 
prior  to  immersion  in  the  L2  environment  is  noticeable  even  aer  decades  of 
exposure (Urponen, 2004). Instruction has a direct inuence on learning, not on 
acquisition (cf. Harley & Hart, 1997). Instruction benets prociency, but with a 
focus on explicit learning (Bialystok, 1997).
|.   e success in semantics relative to syntax and phonology
In  an  ERP  study,  Sanders  and  Neville  (2003)  show  that  native  speakers  and 
late  bilinguals  process  words  similarly,  whereas  syntactic  processing  is  strongly 
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:ii  Declarative and procedural determinants of second languages
impacted  by  age  of  acquisition.  ey  conclude  that  these  ndings  support  the 
proposal  that  subsystems  within  language  display  varying  degrees  of  plasticity. 
Indeed, what they show is that implicit systems subserved by procedural memory 
(here, syntax) are aected by age of acquisition, whereas explicit semantic systems 
subserved by declarative memory (here, words) are not.
Hahne (2001) also reports an ERP experiment, in which native Russian speak-
ers  who  had  learned  German  as  a  second  language  diered  signicantly  from 
native  listeners  in  various  aspects.  For  semantically  correct  sentences,  the  N400 
negativity  was  more  pronounced,  extended  to  frontal  electrode  sites,  and  was 
delayed by about 100 ms in the L2 group, as compared to the native German con-
trols. Moreover, the dierence between correct and incorrect sentences was much 
smaller in the L2 group. us, with regard to semantic aspects, the ERP dierences 
were only quantitative. However, with regard to syntactic aspects, the dierences 
were qualitatively dierent: Phrase structure violations elicited an early negativity 
in comparison to correct sentences in the native listeners, an eect interpreted as 
reecting automaticity. ere was no such modulation of the anterior negativity in 
the L2 group, suggesting a deciency in automaticity. As in previous studies with 
Japanese and French speakers (Hahne & Friederici, 2001), language learners did 
not process syntactic categories in the same way as native listeners did.
In  a  lexical  decision  task  in  which  target  words  were  primed  by  adjectives 
that  were  correctly  or  incorrectly  inected  for  gender  (the  morphosyntactic  con-
dition)  or  by  adjectives  that  were  semantically  associated  or  not  associated  with 
the  target  word  (the  semantic  condition),  Scherag  et  al.  (2004)  found  that  native 
German  speakers  gained  from  both  morpho-syntactically  and  semantically 
congruent primes. In contrast, long-term English immigrants to Germany did not 
benet from morphosyntactic primes, whereas their semantic priming eects were 
similar  to  those  of  the  native  German  speakers.  Also  worthy  of  note  is  the  fact 
that,  in  addition,  the  L2  participants  overall  processing  time  was  longer,  another 
indication of reliance on non-automatic processes. e authors interpret their data 
as suggesting that the full acquisition of at least some syntactic functions may be 
restricted to limited periods in life, whereas the elaboration of semantic functions is 
based on associative learning mechanisms that permit learning throughout life.
|.|  e decline in L2 performance with increasing age
According  to  Birdsong  (2006),  a  review  of  the  literature  reveals  that  for  late  L2 
learners  there  is  either  (1)  a  random  array  of  scores  or  (2)  a  persistent  decline 
in performance with increasing age of appropriation. e rst is consistent with 
declarative learning in general: in contrast with native language acquisition, indi-
viduals  dier  considerably  in  various  domains  of  cognitive  ability  (including 
explicit  language  learning).  e  second  corresponds  to  the  observed  growing 
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  Chapter 4.  Ultimate attainment in L2 prociency  :i
diculty  of  using  declarative  memory  as  age  increases  (associated  with  the 
reported waning of hippocampal structures and the anterior cingulate cortex).
Because declarative memory abilities decline more with age than procedural 
memory functions (Birdsong, 2005, and citations therein), to the extent that L2 is 
subserved  by  declarative  memory,  L2  should  decline  more  than  L1  in  advanced 
aging, as control becomes less eective. We may expect elderly speakers to show a 
decline in uency, accuracy and phonology in the production of L2, of which they 
may be aware as they hear their own output  since production is more sensitive 
to  decline  than  comprehension  (and  perception,  in  the  case  of  a  foreign  accent, 
as  errors  of  lexical  stress  application  or  phoneme  production  are  noticed  aer 
faulty production).
|.,  e ease of appropriation and use of L1 vs. L2
In  the  face  of  (1)  the  considerable  diculty  in  acquiring  a  second  language  in 
adulthood and (2) the fact that two or more languages can be acquired as eort-
lessly as one when the child is exposed to them at a very early age (the earlier, the 
better,  i.e.,  from  the  crib),  it  is  not  unreasonable  to  consider  that  the  time  con-
straints imposed on the acquisition of native implicit linguistic competence  as 
demonstrated  by  studies  of  L1  acquisition  delay  (Lebrun,  1978;  Mayberry,  1993; 
Mayberry  et  al.,  2002;  Boudreault  &  Mayberry,  2006),      must  also  apply  to  the 
acquisition of implicit linguistic competence in a second and third language.
e fact that young children are slow at appropriating a second language and 
need  a  longer  period  to  achieve  levels  that  adolescents  and  adults  can  achieve 
faster,  even  though  they  tend  to  surpass  adults  in  the  long  run
6
  (Nikolov  & 
Mihaljevic  Djigunovic,  2006),  suggests  that  young  children acquire  the  language 
(incidental acquisition takes time) whereas adults, to a great extent, learn it (they 
reach a certain level of accuracy by means of explicit learning, which is faster, but 
this knowledge is limited and is not converted into competence; nor, most of the 
time,  is  much  competence  acquired  in  parallel,  as  learners  continue  to  rely  on 
declarative memory).
Children  acquire  their  native  language(s)  long  before  they  have  any  explicit 
knowledge  of  language.  ey  are  not  more  ecient  L2  learners  than  adults,  but 
they  are  more  ecient  L2  acquirers.  Even  though  they  are  slower  at  acquiring  a 
second  language    implicit  acquisition  is  slow  because  it  needs  a  large  sample 
(N.C.  Ellis,  2005:  315)    they  eventually  internalize  it  better  than  adults.  Unlike 
young children, adults nd it very dicult to incidentally acquire the competence 
o.  ere is enough evidence to show that child second language acquirers are indeed supe-
rior [to adult learners] in terms of ultimate ability (Patkowski, 1990: 73).
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:i|  Declarative and procedural determinants of second languages
that  allows  them  to  use  language  constructions  automatically.  Native-like 
prociency is almost never acquired, and second-language processing is slower 
(Toppelberg, 1997: 1328). Some adult L2 learners are impervious to years of input 
that  evidences  tens  of  thousands  of  exemplars  of  high-frequency  form-function 
patterns (N.C. Ellis, 2005: 322). Most adults faster appropriation is the result of the 
use of speeded-up metalinguistic knowledge. As Ellis (2005) reminds us, accuracy 
and uency are not necessarily an indication of implicit linguistic competence.
In Montrul et al.s (2006) study on the use of clitics, early and late bilinguals 
performed alike (yet late bilinguals were more inaccurate than early bilinguals at 
rejecting sentences in some conditions, and there was a clear advantage for early 
bilinguals  with  clitic  le  dissociations)  on  an  o-line  task  (grammaticality  judg-
ment). On an on-line task, with all sentence types containing clitics and objects in 
sentence-initial position, the reaction times of the late bilinguals were slower than 
those of the early bilinguals (whose RTs did not dier from the unilingual control 
groups). e slower responses of late bilinguals are consonant with the use of con-
trolled rather than automatic processing, hence a lack of implicit competence for 
those items.
Montrul  and  collaborators  note  that  early  bilinguals  appear  to  have  more 
native-like  knowledge  of  clitics  than  late  bilinguals,  even  when  they  have 
low-to-intermediate prociency in the language. According to the authors, this 
may  be  due  to  the  fact  that  the  clitic  system  was  acquired  before  age  4,  as  in 
unilingual children. By contrast, late bilinguals use more metalinguistic knowl-
edge. e early bilinguals are more accurate and faster on clitic-le dissociation, 
as if their linguistic knowledge were automatic (p. 227). Indeed, the hallmark 
of automaticity is systematic accuracy conjoined with speedy processing.
In a study by Flege et al. (2006), immigrant children scored lower than natives 
but higher than adult immigrants, though they still had a detectable accent aer 
4 years of English-medium schools. Very few of the 57 adult Hungarian-speaking 
immigrants in DeKeysers (2000) study scored within the range of child immigrants 
on a grammaticality judgment task, and the few who did had high levels of analyti-
cal skills (suggesting that they probably used their metalinguistic knowledge).
|.o  You dont learn L2 the way you acquired L1, do you? How come?
Whatever ones opinion about the existence and the nature of an optimal period 
for language acquisition, one thing is clear and does not seem controversial: Adult 
L2 learners do not appropriate their L2 in the same way as they acquired their L1. 
Everybody admits that it is hard work. In addition to transferring structures from 
L1,  learners  of  a  second  language  have  a  very  hard  time  automatizing  their  L2. 
Surely they would if they could. Automatized language is so much more ecient. 
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  Chapter 4.  Ultimate attainment in L2 prociency  :i,
Automatic processing always takes over when it is available: it is faster, eortless, 
allows the speaker to focus attention elsewhere and tolerates a good deal of noise. 
So, if the acquisition system were still at learners disposal, no doubt they would 
avail themselves of it.
Anyone who immerses himself or herself in a second language environment 
for months and years manages to learn the language, and possibly, aer long prac-
tice  with  controlled  speech,  manages  to  acquire  a  good  portion  of  the  language, 
but does not acquire it directly, from scratch, the way children before four or ve 
years  of  age  do,  and  rarely  all  components  of  language  structure.  (A  tall,  blond, 
blue-eyed colleague, who specializes in child language, used to say how frustrated 
she was when, aer years of Dutch immersion in the Netherlands, and in spite of 
her high motivation to pass for a native, salespeople in Amsterdam would invari-
ably answer her Dutch queries in English.)
As suggested by Seidenberg and Zevin (2006), computational and biological 
accounts play complementary roles in understanding at least some major cogni-
tive  phenomena  (p.  608),  but  with  respect  to  rst  and  second  language  appro-
priation, the biological account of the roles of procedural and declarative memory 
cannot be dodged. e computational explanation might clarify how L1 compe-
tence interferes with L2 acquisition, but must also account for why a rst language 
cannot be fully acquired aer age 6, as shown not only by the few cases of hearing 
children  deprived  of  language  input  but  also  by  the  numerous  deaf  children  not 
exposed  to  sign  language  early  enough  (Mayberry,  2006).  e  onset  of  language 
acquisition in early human development dramatically alters the capacity to learn 
language throughout life (Mayberry & Lock, 2003).
I  am  not  speaking  of  the  form  of  the  utterance  (foreign  accent,  interference 
from L1 and other deviances in morphosyntax and lexical semantics) but of the 
system  used  to  perform  both  comprehension  and  production.  Speaking  with  a 
foreign accent is not a sign of a lack of automaticity. A deviant phonological and 
articulatory  system  could  be  automatized.  But  in  addition  to  the  contents  of  the 
grammar,  what  makes  the  appropriation  and  use  of  L2  dierent  from  L1  is  the 
lack  of  automaticity  and  consequent  reliance  on  conscious  (albeit  possibly  con-
siderably speeded up) control of one or more of the components of grammar. e 
greater  the  number  of  components  that  necessitate  control,  the  slower  and  less 
systematic the performance.
e most perceptible dierence between the grammar of a speaker of L2 and 
that  of  a  native  speaker  is  the  deviance  in  contents  (accent,  grammatical  errors, 
inappropriate semantic boundaries of lexical items). Less observable, in very pro-
cient  late  second  language  speakers,  is  the  greater  reliance  on  metalinguistic 
knowledge and control, which results in reduced speed and increased variability 
(not readily perceived in conversational situations).
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:io  Declarative and procedural determinants of second languages
e  argument  that  the  bilinguals  performance  should  not  be  compared  to 
that of unilingual native speakers (Grosjean, 1989, 2008; Cook, 1992; Piller, 2002) 
is applicable to the contents of language representations (i.e., uni- or bidirectional 
interference  in  what  is  stored  as  implicit  competence),  not  to  the  means  by 
which  language  is  represented  (i.e.,  procedurally  or  declaratively;  automatic 
or controlled).
,.   Optimal period and the right hemisphere
e  optimal  period  is  hypothesized  to  apply  to  implicit  linguistic  competence 
(Paradis, 2004). Implicit linguistic competence is subserved by cortical and sub-
cortical structures of the le hemisphere and areas of the right cerebellum. Unless 
the  various  components  of  verbal  communication  are  distinguished  (implicit 
linguistic  competence,  metalinguistic  knowledge  and  pragmatics),  claims  about 
language will necessarily be muddled, as their truth or falsity depends on which 
component they refer to. Discussions of the critical period hypothesis and the role 
of the right hemisphere are no exception.
Lenneberg (1967) associated the critical period with maturation, as reected 
in language lateralization.
7
 His proposed laterality shi from the right to the le
hemisphere  was  soon  shown  to  be  incorrect  (Krashen,  1973),  and  it  applies  to 
none of the three main components of verbal communication. Barring early cere-
bral  injury,  implicit  linguistic  competence  is  sustained  by  procedural  memory 
in  the  le  hemisphere  from  the  start  (i.e.,  between  1;6  and  2  years  of  age,  when 
the  rst  two-word  constructions  appear,  before  which  there  was  no  grammar), 
irrespective of modality (signed or spoken). At the earliest stages of verbal com-
munication, pragmatics becomes associated with speech sounds; and as linguistic 
pragmatics develops, it continues to be sustained by right-hemisphere structures. 
Language awareness, sustained by declarative memory, does not undergo progres-
sive lateralization either.
Two  conditions  will  result  in  the  absence  of  development  of  implicit  lin-
guistic competence: (1) a deviant FOXP2 gene
8
 or (2) the absence of language 
.  e limiting factors postulated are cerebral immaturity at the one end and termination 
of a state of organizational plasticity linked with laterality of [language] function at the other 
end of the critical period (Lenneberg, 1967: 176).
8.  Leading  (among  other  things)  to  genetic  dysphasia  in  which  many  morphological  and 
phonological aspects of implicit linguistic competence are compromised and are made up for 
by the use of explicitly learned metalinguistic knowledge.
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  Chapter 4.  Ultimate attainment in L2 prociency  :i
interaction  at  the  age  during  which  implicit  linguistic  competence  normally 
develops.
9
 As we saw in Chapter 3, two factors may conspire to make acquir-
ing  implicit  competence  in  a  second  language  in  adulthood  difficult:  (1)  age, 
leading  to  the  use  of  declarative  memory  when  learning  anything  new,  and 
(2)  the  fact  that  implicit  competence  has  already  been  established  along  the 
parameters of L1.
e evidence (both the end-age of language impairment subsequent to right-
hemisphere lesion and the notion of gradual language lateralization itself) that was 
originally the rationale for setting the end point of a critical period for language 
acquisition  at  12  years  of  age  has  been  shown  to  be  invalid.  It  is  clear  that  there 
is no critical period that ends at puberty. If there is a critical period, it terminates 
much earlier (and it has nothing to do with lateralization).
Yet,  many  authors  continue  to  use  Lennebergs  (1967)  denition,  especially 
when arguing against the existence of a critical period (Marinova-Todd et al., 2000; 
Komarova & Nowak, 2001; Flege et al., 2006); and hence, they include individuals 
aged from 6 to 12 years (sometimes even up to age 14, e.g., Flege et al., 2006) in 
the early L2 acquisition onset group in contrast to individuals older than 12 in 
the  late  L2  onset  group.  Both  groups  contain  individuals  who  have  passed  the 
incidental acquisition age.
10
 As a result, children who were 6 when they arrived in 
their new country and still had detectable accents aer 3 or 5 years of residence 
in an English environment are considered to provide evidence inconsistent with 
the critical period hypothesis (Flege et al., 2006). Two reasons may jointly account 
for their accents: (1) they were exposed to the accented L2 of their parents, rela-
tives and friends, and (2) they were exposed to the L2 aer the age of 6 years. e 
second reason may be in eect even in the absence of the rst: Munro and Mann 
(2005) report that a foreign accent is perceived in speakers who started immersion 
in  L2  from  about  age  5  on,  aer  which  the  degree  of  perceived  accent  increases 
with age at onset of L2 exposure.
In  a  study  by  Flege,  Yeni-Komshian,  and  Liu  (1999),  the  foreign  accents  of 
the  participants  grew  stronger  as  age  of  immersion  in  an  L2  environment  (e.g., 
immigration) increased. While grammatical scores also decreased steadily, unlike 
.  A normal FOXP2 gene and reliance on procedural memory are necessary but, in order to 
acquire a language (rst or second), sucient interaction opportunities are also required.
:o.  In  a  study  conducted  by  Palij  (1990),  early  bilinguals  (L2  acquired  before  6)  did  not 
dier from native speakers on any of the measures, but both diered consistently from groups 
who had appropriated L2 aer the age of 6. e patterns of dierences among the groups are 
clear and striking. Native and early bilinguals dier signicantly from late learners on all tests 
( p  <  .0001).  Palij  concludes  that  these  dierences  are  important  and  should  be  considered 
when selecting subjects for language experiments.
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:i8  Declarative and procedural determinants of second languages
accent, they were inuenced by other variables, such as extent of education received 
in the L2 environment. is supports the notion that pronunciation of a second 
language is not only subject to an earlier onset deadline but also more dicult to 
control than other aspects of language structure, such as syntax. However, gram-
matical scores too show increased reliance on declarative memory (as evidenced 
by the inuence of education) with increasing age of rst exposure.
o.   Evidence adduced against a critical period
Some adult second language learners are reported to be able to attain native pro-
ciency in some aspects of language or on some language tasks. Some learners 
whose  exposure  to  L2  occurs  aer  age  12  are  still  able  to  acquire  an  L2  accent 
that  is  perceived  as  native  by  native  speakers.  Neufelds  work  is  oen  cited  in 
support  of  native-like  attainment  in  the  pronunciation  of  a  foreign  language. 
Yet, as the author acknowledges, not only is it the outcome of a highly articial 
learning situation (Neufeld, 1977: 48), but the learners performance does not 
correspond to what can be considered as speaking a second language without a 
detectable foreign accent. Rather, it is an exercise in psittacism, a task some spe-
cies of parrots and myna birds are able to perform. e participants were trained 
to repeat one-to-eight-syllable stock phrases. ey were specically told not to 
expect  to  learn  their  meaning  or  grammatical  rules.  All  this  notwithstanding, 
out  of  20  rated  participants,  the  production  of  only  3  for  Japanese  and  1  for 
Chinese was judged to be native-like (in spite of the fact that the judges might 
have  expected  a  majority  of  native  samples,  having  been  told  beforehand  that, 
although  improbable,  many  samples  they  were  to  hear,  and  conceivably  all, 
might be non-native (p. 53)).
e  adults  in  Neufelds  (1980)  experiments  did  not  acquire  phonology  
(as claimed in the papers title). All they acquired was the ability to reproduce 
specic strings of sounds (corresponding to Japanese sentences to the extent that 
native speakers thought they were spoken by Japanese). An acquired phonology 
would  entail  the  ability  to  use  phonological  rules  (not  just  to  imitate  sounds)  in 
extemporaneous sentence production, a task the subjects were absolutely unable 
to do, since they could not speak Japanese. ey would not have been able to use 
in novel contexts the phonological rules involved in the passages they could imi-
tate (albeit perfectly). Pronunciation is a skill that most L2 learners nd dicult 
to integrate with the simultaneous selection of morphosyntactic rules and lexical 
items (Lamendella, 1979).
e  fact  that  the  amount  of  phonological  training  has  a  signicant  positive 
eect on the pronunciation of a group of university students learning an L2 shows 
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  Chapter 4.  Ultimate attainment in L2 prociency  :i
that  adults  are  able  to  learn  to  control  their  production  of  L2  speech  sounds. 
is,  however,  needs  to  be  integrated  with  the  other  components  of  grammar 
into implicit linguistic competence and automatized. Note that the conditions of 
Neufelds (1979) study did not replicate the learning situation of young children 
(as  claimed  by  Marinova-Todd  et  al.,  2000).  e  students  were  not  involved  in 
communication with native speakers but received specic phonological training. 
Subjects  performance  [in  the  19771979  studies]  involved  imitation  only,  with 
no creative use of language (Neufeld, 1979: 234). Neufeld admits that the studies 
do  not  provide  sucient  evidence  to  denitely  reject  the  strong  version  of  the 
critical period hypothesis (p. 235).
Some studies claim that with short, intensive training, it is possible to acquire 
a  second  languages  phonological  contrasts.  But  as  Sebastin-Galls  and  Bosch 
(2001)  point  out,  in  spite  of  a  10-  to  20-percent  increase  in  performance  on 
identication  or  discrimination  tasks,  performance  does  not  reach  the  native 
speakers level. e improvement likely reects controlled performance, in which 
case  it  would  be  additional  evidence  in  favor  of  a  biologically  based  critical 
(i.e., optimal) period.
e  case  studies  reviewed  by  Nikolov  and  Mihaljevic  Djigunovic  (2006) 
document  that  all  the  post-puberty  learners  who  were  frequently  mistaken  for 
native  speakers  denitely  strove  for  unaccented  prociency  and  worked  actively 
to master their new language (Bongaerts et al., 1997; Ioup et al., 1994). Individuals 
who  have  been  found  to  successfully  attain  ultimate  native-like  prociency 
are  reported  to  have  been  highly  motivated  to  pass  for  L2  native  speakers 
(Moyer,  1999)  and  to  have  worked  on  their  language  development  consciously  
(Nikolov, 2000; Moyer, 2004).
e many pieces of evidence from a wide array of dierent domains pointing 
to  increased  explicit  processing  in  the  second  language  are  too  numerous  to  be 
ignored. ey can no longer be swept under the carpet. Any theory of second lan-
guage appropriation must be able to account for them.
.   Factors invoked in lieu of a neurobiological critical period  
to account for poor performance in L2 are actually the  
consequences of an optimal period
e  various  phenomena  proposed  to  explain  the  dierences  between  rst  and 
second  language  ultimate  attainment  play  a  role  only  because,  for  a  number  of 
genetically  programmed  cerebral  events,  procedural  memory,  which  allows  lan-
guage to be acquired, becomes far less available aer an optimal period. e con-
sequent  reliance  on  declarative  memory  renders  the  appropriation  of  language 
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:o  Declarative and procedural determinants of second languages
contingent  upon  the  various  factors  suggested  by  authors  as  being  responsible 
(instead of a neural-based reason) for arduous and eventually poor attainment.
.:  Eects due to age are a consequence of brain processes
e  observed  age-related  phenomena  probably  result  from  the  interaction  of 
multiple  causes  (Singleton,  1989).  Factors  other  than  a  biologically  determined 
C[ritical] P[eriod] play a role in the variability of the ultimate attainment of older 
learners  (Marinova-Todd  et  al.,  2001:  174).  ese  alternatives  to  a  neurological 
account  motivation, explicit language instruction, the very knowledge of another 
language  (Singleton,  2001)    become  relevant  only  because  of  the  biologically 
determined  advent  of  declarative  memory  on  which  late  learners  must  rely  to 
compensate  for  their  lost  ability  to  incidentally  acquire  L2  as  young  children 
do.  Variability  in  learning  is  caused  by  factors  intrinsic  to  declarative  memory 
(working memory functions, IQ, focused attention, executive control, etc.). Adults 
may  eventually  achieve  near-native  (or  even  native-like)  prociency,  though  not 
necessarily  full  implicit  linguistic  competence  the  way  early  bilinguals  do.  e 
dierence is not only, or necessarily, one of content (deviant items incorporated in 
the grammar at any level) but of lack of automatic use of all aspects of language.
L2  attainment  continues  to  negatively  correlate  with  age  of  learning 
(Birdsong & Molis, 2001). At the end of early childhood, learners no longer rely 
almost exclusively on procedural memory for incidental language acquisition and 
start learning a second language explicitly, relying on declarative memory. If the 
age of onset of learning is further postponed until middle-age, declarative memory, 
on which learning relies, gradually declines. Hence, as one gets older, not only has 
reliance  on  incidental  acquisition  long  ceased,  but  explicit  L2  learning  becomes 
progressively more dicult (as does learning in any domain). e aging process is 
thus doubly responsible for lack of success (or the increased diculty of attaining it), 
(1)  because  of  the  end  of  the  period  when  language  can  be  acquired  easily,  and 
(2) because of the decline with age of the means by which learners can compensate 
(i.e., the decay of the hippocampal-system-dependent declarative memory). Both 
processes are determined by brain maturation, physiology, and genetically built-in 
obsolescence.  As  with  any  genetically  programmed  process,  variability  owing  to 
diering experiential conditions is possible, within limits.
Marinova-Todd et al. (2000) rightly point out that myriad factors are involved 
in successful learning, but then add: many of which may be correlated with age 
but have nothing to do with changes in the brain (p. 24). First, let us remember 
that these numerous factors are not involved in successful L1 and early L2 acqui-
sition (except for the opportunity to interact with speakers of the language). e 
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  Chapter 4.  Ultimate attainment in L2 prociency  ::
reason why they become relevant is because, at a certain age (and to this extent, age 
is a factor, and age eects have to do with changes in the brain), declarative mem-
ory becomes available (and this represents a change in the physiological properties 
of  the  brain)  and  individuals  tend  to  rely  increasingly  on  conscious  learning. 
 At the same time, incidental learning ceases to be ecient. To that extent, one can 
say that there is a period (from about age 2 to about age 5) during which acquisition 
relies on one cerebral entity (procedural memory); aer that, acquisition becomes 
less ecient, at successive periods for the various components of implicit linguistic 
competence, until about adolescence. Meanwhile, the individual compensates by 
consciously learning and controlling the use of those aspects of L2 that are no lon-
ger acquired incidentally. From then on, the factors involved in learning come into 
play and those involved in general cognitive capacities (working memory, IQ, etc.) 
become relevant, resulting in considerable variability in rate and degree of success. 
Among  the  factors  that  typically  lead  to  native-like  prociency  in  L2,  aptitude, 
meaning the ability to learn explicitly, becomes one of the major variables. e fact 
that cognitive aptitude strongly correlates with success of L2 learning (Ehrman & 
Oxford, 1995) again suggests that high attainment in L2 is the result of learning 
rather than acquisition. All these factors are associated with learning performance 
in any knowledge domain subserved by declarative memory.
e brain is responsible for the aging process and its consequences, the avail-
ability and decline of procedural memory for the acquisition of implicit linguistic 
competence, and the availability and decline of declarative memory (modulated by 
its inherent constraints on learning: working memory capacity, aptitude, attitude, 
motivation, etc., which vary across individuals) for learning foreign languages. We 
might  therefore  agree  with  Marinova-Todd  et  al.  (2000)  that,  literally,  age  does 
not inuence language learning (p. 28), at least until declarative memory declines 
with advanced age, but it does considerably inuence language acquisition.
As  in  every  domain  involving  genetic  makeup,  brain  maturation  and  con-
comitant cognitive development, and experience, we cannot make absolute claims 
about age onset for a specic phenomenon. Many factors do interact, but within 
limits, and outcomes fall within a certain range. One may then consider any state-
ment about chronological age as referring to a norm (i.e., the vast majority, with 
some standard deviation in either direction). Such limits apply to the availability 
of procedural memory for acquiring a language, whether rst or second.
It  is  true  that  a  number  of  age-related  factors  are  at  work  (Singleton,  2001). 
ese  age  eects  that  are  assumed  not  to  rely  on  neurolinguistic  arguments  are 
in  fact  caused  by  neurophysiological  phenomena  such  as  the  diverging  devel-
opment  of  procedural  and  declarative  memory  that  sustain  language  functions: 
(1) e availability of procedural memory for language acquisition gradually declines 
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:i  Declarative and procedural determinants of second languages
from  around  age  5;  (2)  from  then  on,  factors  associated  with  declarative  memory 
gradually enter into play; (3) through adulthood and old age, the gradual deteriora-
tion of declarative memory negatively aects second language learning and use.
e  uncontroversial  dierence  between  appropriating  a  native  language 
(or two) and further languages aer the age of about 5 years is determined by the 
timeframe  of  the  availability  of  procedural  memory  for  implicit  linguistic  com-
petence and the advent of declarative memory. It may be modulated by a number 
of  factors,
11
  such  as  motivation  (Schumann,  1998),  attention,  eort,  aptitude,
12
 
education  level  (Urponen,  2004),  working  memory  capacity  (McDonald,  2006), 
verbal analytical ability (Harley & Hart, 1997; DeKeyser, 2000), and environmen-
tal  dynamics  (Flege  et  al.,  1999).  Ironically,  these  factors  become  relevant  to  the 
appropriation
13
 of L2 (though not the acquisition of L1) precisely because of reli-
ance  on  dierent  memory  systems  when  acquiring  L1  (procedural  memory  for 
implicit  linguistic  competence)  and  learning  a  subsequent  language  (declarative 
memory for all aspects of language, including metalinguistic knowledge and some 
features of pragmatics).
e deadline for the incidental acquisition of implicit linguistic competence 
varies with each component module. ere is not one optimal period
14
 but sev-
eral,  respectively  for  prosody,  phonology,  inectional  morphology,  and  syntax 
(Weber-Fox  &  Neville,  1996,  2001),  in  this  order  of  early  termination.  is  only 
partly coincides with the order of acquisition, some aspects of word order being 
generally  acquired  before  inectional  morphology,  but  more  complex  aspects  of 
syntax aer some features of agreement (Tavano, Fabritiis, & Fabbro, 2005).
McDonald (2006) proposes inadequate processing speed (p. 381) as an expla-
nation  for  the  poor  grammaticality  judgments  of  late  second  language  learners, 
as opposed to their being beyond the critical period for language acquisition. Slow 
::.  ese factors, which are generally invoked as being responsible for the dierence between 
acquiring L1 and L2 in arguments against a critical period, are not relevant when acquiring 
one  or  more  languages  before  the  age  of  5  years.  ey  only  come  into  play  when  L2  has  to 
be learned.
:i.  All children without severe mental defects have the aptitude to acquire, and do acquire, 
the languages to which they are exposed and in which they interact.
:.  e word appropriation is used here throughout because (1) whatever is said is valid 
for both acquisition and learning, and (2) it is dicult to ascertain by mere behavioral criteria 
whether what has been appropriated has been acquired or learned, and if acquired, whether it 
was acquired incidentally from the start or subsequent to a long period of explicit processing 
from which competence was gradually abstracted  as discussed in Chapter 3.
:|.  Meaning that the period during which Z can be acquired does not start before X months 
and ends at Y years of age.
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  Chapter 4.  Ultimate attainment in L2 prociency  :
processing  suggests  that  they  use  controlled  metalinguistic  knowledge  instead 
of  automatic  implicit  competence.  e  use  of  automatic  processing  is  preferred 
whenever it is available. If late second language learners use controlled processing, 
it  means  that  automatic  competence  is  not  available.  e  inadequate  processing 
speed is a result of a period aer which procedural memory for language acquisi-
tion is no longer ecient. us again, the explanation proposed in lieu of a critical 
period  to  account  for  late  learners  failure  to  appropriate  a  second  language  the 
way children do happens to be the necessary use of compensatory strategies as a 
result of an optimal period for language acquisition.
.i  Native language entrenchment
MacWhinney (2005) emphasizes the extent to which a second language speakers 
repeated use of L1 leads to its ongoing entrenchment. As he notes, this entrench-
ment operates dierentially across linguistic areas, with the strongest eect occur-
ring  in  output  phonology  (i.e.,  the  most  implicit  of  language  processes)  and  the 
least in the area of vocabulary (i.e., the explicit component of language), for which 
new learning continues to occur lifelong.
Seidenberg and Zevin (2006) note that acquiring language early in life seems 
patently easier than learning it later (p. 595). ey propose that interference due 
to increasing entrenchment of L1 provides a basis for the decline in plasticity asso-
ciated with the closing of the critical period for language acquisition. According to 
these authors, the loss of plasticity associated with this phenomenon seems to be 
specically related to the capacity to generalize. However, no correlation with any 
specic  cognitive  handicap  has  been  found  in  individuals  with  genetic  dyspha-
sia. Although these individuals are unable to acquire the simplest regular rules of 
inectional morphology, such as marking the plural on regular nouns and form-
ing the past tense of regular verbs in English (Ullman & Gopnik, 1994), forming 
regular compounds in Greek (Dalalakis, 1999), or rendaku in Japanese (Fukuda & 
Fukuda,  1999),  they  do  not  necessarily  show  such  decits  in  cognitive  domains 
other than language. It thus appears that generalizations in language are indepen-
dent  of  a  non-domain-specic  capacity  to  generalize  (consonant  with  the  task-
specicity of procedural memory).
Seidenberg  and  Zevin  (2006)  remark  that  PDP  networks  have  not,  as  yet, 
incorporated  facts  about  neurological  development  (p.  597).  One  piece  of  evi-
dence that the rapid acquisition of language with gradual loss of capacity to acquire 
other languages is tied up to biological development on a maturational timetable 
(p. 606) comes precisely from the coincidental emergence of declarative memory.
e  concept  of  entrenchment,  which  was  the  result  of  considering  the 
phenomena  computationally  rather  than  biologically,  may  account  for  what 
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:|  Declarative and procedural determinants of second languages
and  how  Parallel  Distributed  Processing  computers  learn,  but  when  it  comes  to 
humans learning language, biological facts cannot be excluded from the equation. 
e involvement of cerebellum and basal ganglia versus hippocampal and mesial 
temporal  lobe  structures  in  subserving,  respectively,  procedural  and  declarative 
systems cannot be ignored.
A small system of articial grammar rules may be syntactically instantiated by 
the adult speaker in a way that strongly resembles native-like sentence processing 
(Friederici et al., 2002), but L2 processing requires the automatic (i.e., native-like) 
processing  of  several  independent  systems,  including  a  large  set  of  complex 
rules. Vocabulary and basic word order may be acquired whereas relatively more 
complex  structures  may  not  be  so  readily  acquired  (see  Yokoyama  et  al.s  (2006) 
and Suh et al.s (2007) studies, discussed in the next chapter).
If  Seidenberg  and  Zevins  computational  account  turned  out  to  be  the  sole 
explanation of why the acquisition of a second language is so dicult, it would 
be a justication for why the use of declarative memory becomes necessary and 
would  thus  support  the  procedural/declarative  sequence,  showing  why  a  com-
pensatory  means  (i.e.,  conscious  declarative  learning)  is  needed  (i.e.,  when 
implicit  linguistic  memory  is  entrenched).  Irrespective  of  the  applicability  of 
their  model,  the  following  eects  on  language  appropriation  and  loss  (p.  602) 
obtain: Maintenance of L1 interferes with appropriating L2; the continued expe-
rience  with  L1  keeps  the  language  entrenched;  proactive  interference  from  L1 
aects appropriation of L2; and retroactive interference from L2 causes attrition 
of L1 if L1 ceases to be used. ese eects obtain for both incidental acquisition 
and conscious learning. In the case of acquisition, it is dicult to modify exist-
ing automatized procedures; in the case of learning, one consciously applies the 
explicit rules inferred from ones own and other L1 speakers output. In the case 
of L1 entrenchment and attrition, these eects are compatible with the activation 
threshold hypothesis (Paradis, 2007a). e result is that L2 is learned rather than 
acquired (at least at rst, and its use remains controlled for a long time) before 
components of the grammar (with or without inappropriate transfer of features 
from L1) are eventually internalized.
8.   Conclusion
e  optimal  period  refers  to  the  time  during  which  a  second  language  can 
be  acquired  incidentally  as  implicit  linguistic  competence  that  will  be  used 
automatically. Aer that window of opportunity, learners rely on declarative mem-
ory, which leads to the various ndings listed by Harley and Wang (1997) as needing 
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  Chapter 4.  Ultimate attainment in L2 prociency  :,
an adequate account: (1) the graduated age of onset dierences between children 
and older learners; (2) the dierences between adult onset ages; (3) the contrast-
ing  ndings  concerning  initial  rate  advantages  for  older  learners;  (4)  the  ability 
of  some  adult  learners,  but  not  others,  to  achieve  native  or  near-native  levels  of 
success; and (5) the variance found among learners in a bilingual setting.
e numerous factors generally invoked to account for dierences in attain-
ment  between  the  native  and  a  later-learned  second  language  arise  from  the  L2 
learners switching from reliance on procedural memory  as young children do  
to reliance on declarative memory functions. All children without a serious mental 
deciency who are exposed to language acquire a native language. Not everyone 
who  has  acquired  an  L1  manages  to  acquire  an  L2.  e  immediate  reasons  are 
numerous and varied but all stem from genetically programmed neurobiological 
events and none plays a signicant role in the acquisition of a language during the 
optimal period. e factors that aect achievements in L2 appropriation are com-
mon to all declarative tasks and irrelevant to automatic achievements. One major 
consequence of relying on declarative memory is a considerable degree of inter-
individual variability brought about by dierences in working memory capacity, 
education, attitude, and several other internal and external factors.
e  proactive  negative  inuence  of  L1  (entrenchment)  may  be  one  of  the 
reasons  why  the  appropriation  of  a  second  language  is  dicult  and  depends 
on  recourse  to  declarative  memory.  is  would  speak  to  cerebral  plasticity 
(i.e.,  capacity  and  resource  management).  e  advent  of,  and  gradual  increased 
reliance  on,  declarative  memory,  with  a  concomitant  decreased  reliance  on 
procedural  memory,  would  explain  why  only  some  types  of  knowledge 
(e.g., syntax versus words) show optimal-period-like loss of plasticity.
Skills in general (and implicit linguistic competence processing in particular) 
acquired during their optimal period are more resistant to attrition through dis-
use than learned material, but the acquisition of skills aer their optimal period 
becomes more dicult with increasing age.
Neither  puberty  nor  language  lateralization  marks  the  deadline  for  an 
optimal  period  for  second  language  acquisition.  Yet,  much  evidence  adduced 
against an optimal period is predicated on Lennebergs (1967) premises. On the 
one hand, participants in most experiments are late versus later learners rather 
than  early  versus  late,  and  tasks  tap  only  a  single  aspect  of  language  or  even  a 
non-linguistic type of performance. In addition, irrespective of the subject pop-
ulation,  whether  the  participants  performance  is  speeded-up  or  automatic  is 
never ascertained.
Some  authors  emphasize  overall  deciencies  in  ultimate  attainment,  others 
focus on cases of high achievement on several tasks  but whether one considers 
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:o  Declarative and procedural determinants of second languages
the  late  second  language  implicit  competence  to  be  half-full  or  half-empty,  the 
implication is that it is not full. is is not to deny the possibility of reaching (quasi) 
native-like execution via speeded-up controlled processing. As was mentioned in 
the previous chapter, this may not be of any practical import, but it is nevertheless 
essential from a neuroscience perspective. e ultimate observable output may be 
the same, even though it is achieved by dierent neurofunctional means.
 
 
 
 
 
BRAIN MECHANISMS IN EARLY 
LANGUAGE ACQUISITION 
(KUHL) 
Neuron
Review
Brain Mechanisms in Early Language Acquisition
Patricia K. Kuhl
1,
*
1
Institute for Learning & Brain Sciences, University of Washington, Seattle, WA 98195, USA
*Correspondence: pkkuhl@u.washington.edu
DOI 10.1016/j.neuron.2010.08.038
The last decade has produced an explosion in neuroscience research examining young childrens early pro-
cessing of language.  Noninvasive,  safe  functional  brain  measurements  have  now  been  proven  feasible for
use  with  children  starting  at  birth.  The  phonetic  level  of  language  is  especially  accessible  to  experimental
studies  that   document   the  innate  state  and  the  effect   of   learning  on  the  brain.   The  neural   signatures  of
learning at the phonetic level can be documented at a remarkably early point in development. Continuity in
linguistic development from infants earliest brain responses to phonetic stimuli is reected in their language
and prereading abilities in the second, third, and fth year of life, a nding with theoretical and clinical impact.
There is evidence that early mastery of the phonetic units of language requires learning in a social context.
Neuroscience on early language learning is beginning to reveal the multiple brain systems that underlie the
human language faculty.
Introduction
Neural   and  behavioral   research  studies  show  that  exposure  to
language  in  the  rst   year   of   life  inuences  the  brains  neural
circuitry  even  before  infants  speak  their   rst   words.   What   do
we  know  of  the  neural   architecture  underlying  infants  remark-
able capacity for language and the role of experience in shaping
that neural circuitry?
The goal of the review is to explore this topic, focusing on the
data   and  arguments   about   infants   neural   responses   to   the
consonants and vowels that make up words. Infants responses
to  these  basic  building  blocks  of  speechthe  phonemes  used
in  the  worlds  languagesprovide  an  experimentally  tractable
window  on the roles  of nature  and nurture  in language  acquisi-
tion. Comparative studies at the phonetic level have allowed us
to  examine  the  uniqueness  of   humans   language  processing
abilities.   Moreover,   infants   responses  to  native  and  nonnative
phonemes have documented the effects of experience as infants
are   bathed   in   a   specic   language.   We   are   also   beginning
to  discover   how  exposure  to  two  languages  early  in  infancy
produces  a  bilingual   brain.   We  focus  here  on  when  and  how
infants master the sound structure of their language(s), and the
role  of   experience  in  explaining  this  important   developmental
change.   As  the  data  attest,   infants   neural   commitment  to  the
elementary units of language begins early, and the review show-
cases  the  extent   to  which  the  tools  of   modern  neuroscience
are  advancing  our   understanding  of   infants   uniquely  human
capacity for language.
Humans capacity for speech and language provoked classic
debates   on   nature   versus   nurture   by   strong   proponents   of
nativism  (Chomsky,   1959)   and  learning  (Skinner,   1957).   While
we are far  beyond  these debates  and informed  by  a great  deal
of   data  about   infants,   their   innate  predispositions,   and  their
incredible  abilities  to  learn  once  exposed  to  natural   language
(Kuhl, 2009; Saffran et al., 2006), we are still just breaking ground
with  regard  to  the  neural   mechanisms  that   underlie  language
development  (see  Friederici  and  Wartenburger,  2010; Kuhl  and
Rivera-Gaxiola,  2008).  This  decade  may  represent  the  dawn  of
a  golden  age  with  regard  to  the  developmental   neuroscience
of language in humans.
Windows to the Young Brain
The  last   decade  has  produced  rapid  advances  in  noninvasive
techniques  that   examine  language  processing  in  young  chil-
dren  (Figure  1).   They  include  Electroencephalography   (EEG)/
Event-related   Potentials   (ERPs),   Magnetoencephalography
(MEG),   functional   Magnetic   Resonance   Imaging   (fMRI),   and
Near-Infrared Spectroscopy (NIRS).
Event-related  Potentials   (ERPs)   have  been  widely   used  to
study  speech  and  language  processing  in  infants  and  young
children (for reviews, see Conboy et al., 2008a; Friederici, 2005;
Kuhl,   2004).   ERPs,   a  part  of  the  EEG,   reect  electrical   activity
that is time-locked to the presentation of a specic sensory stim-
ulus  (for   example,   syllables  or   words)   or   a  cognitive  process
(recognition of a semantic violation within a sentence or phrase).
By placing sensors on a childs scalp, the activity of neural net-
works  ring  in  a  coordinated  and  synchronous  fashion  in  open
eld  congurations   can   be   measured,   and  voltage   changes
occurring   as   a   function   of   cortical   neural   activity   can   be
detected.   ERPs  provide  precise  time  resolution  (milliseconds),
making themwell suited for studying the high-speed and tempo-
rally ordered structure of human speech. ERP experiments can
also  be  carried  out   in  populations  who  cannot   provide  overt
responses because of age or cognitive impairment. Spatial reso-
lution of the source of brain activation is, however, limited.
Magnetoencephalography   (MEG)   is   another   brain   imaging
technique that tracks activity in the brain with exquisite temporal
resolution.  The  SQUID  (superconducting  quantum  interference
device)   sensors  located  within  the  MEG  helmet   measure  the
minute  magnetic  elds  associated  with  electrical   currents  that
are produced by the brain when it is performing sensory, motor,
or cognitive tasks. MEG allows precise localization of the neural
currents   responsible   for   the   sources   of   the   magnetic   elds.
Cheour   et   al.   (2004)   and  Imada  et   al.   (2006)   used  new  head-
tracking  methods  and  MEG  to  show  phonetic  discrimination  in
Neuron 67, September 9, 2010 2010 Elsevier Inc.   713
newborns and infants in the rst year of life. Sophisticated head-
tracking software and hardware enables investigators to correct
for   infants   head  movements,   and  allows  the  examination  of
multiple  brain  areas  as  infants  listen  to  speech  (Imada  et   al.,
2006).   MEG  (as  well   as  EEG)   techniques  are  completely  safe
and noiseless.
Magnetic  resonance  imaging  (MRI)   can  be  combined  with
MEGand/or EEG, providing static structural/anatomical pictures
of   the  brain.   Structural   MRIs  show  anatomical   differences  in
brain  regions  across  the lifespan,  and have recently  been used
to  predict  second-language  phonetic  learning  in  adults  (Goles-
tani and Pallier, 2007). Structural MRI measures in young infants
identify the size of various brain structures and these measures
have been shown to be related to language abilities later in child-
hood  (Ortiz-Mantilla  et  al.,   2010).   When  structural   MRI   images
are   superimposed   on   the   physiological   activity   detected   by
MEG or EEG, the spatial localization of brain activities recorded
by these methods can be improved.
Functional   magnetic  resonance  imaging  (fMRI)   is  a  popular
method  of   neuroimaging  in   adults   because   it   provides   high
spatial-resolution maps of neural activity across the entire brain
(e.g.,  Gernsbacher  and  Kaschak,  2003).  Unlike  EEG  and  MEG,
fMRI   does   not   directly   detect   neural   activity,   but   rather   the
changes in blood-oxygenation  that occur  in response  to  neural
activation.  Neural   events  happen  in  milliseconds;  however,  the
blood-oxygenation  changes  that   they  induce  are  spread  out
over several seconds, thereby severely limiting fMRIs temporal
resolution.   Few   studies   have   attempted   fMRI   with   infants
because the technique requires infants to be perfectly still, and
because the MRI device produces loud sounds making it neces-
sary to shield infants ears. fMRI studies allow precise  localiza-
tion of brain activity and a few pioneering studies show remark-
able similarity in the structures responsive to language in infants
and adults (Dehaene-Lambertz et al., 2002, 2006).
Near-Infrared  Spectroscopy  (NIRS)   also  measures  cerebral
hemodynamic responses in relation to neural activity, but utilizes
Figure 1.   Four Techniques Now Used Extensively with Infants and Young Children to Examine Their Responses to Linguistic Signals
(From Kuhl and Rivera-Gaxiola, 2008).
714   Neuron 67, September 9, 2010 2010 Elsevier Inc.
Neuron
Review
the absorption of light, which is sensitive to the concentration of
hemoglobin,   to  measure  activation  (Aslin  and  Mehler,   2005).
NIRS  measures  changes  in  blood  oxy-  and  deoxy-hemoglobin
concentrations   in   the   brain   as   well   as   total   blood   volume
changes  in  various  regions  of   the  cerebral   cortex  using  near
infrared  light.   The  NIRS  system  can  determine  the  activity  in
specic  regions  of  the  brain  by  continuously  monitoring  blood
hemoglobin  level.   Reports  have  begun  to  appear  on  infants  in
the rst two years of life, testing infant responses to phonemes
as  well   as  longer   stretches  of   speech  such  as  motherese
and  forward  versus  reversed  sentences  (Bortfeld  et   al.,   2007;
Homae  et   al.,   2006;   Pen a  et   al.,   2002;   Taga  and  Asakawa,
2007).   As  with  other   hemodynamic  techniques  such  as  fMRI,
NIRS typically does not provide good temporal resolution. How-
ever,   event-related   NIRS   paradigms   are   being   developed
(Gratton and Fabiani, 2001). One of the most important potential
uses of the NIRS technique is possible co-registration with other
testing techniques such as EEG and MEG.
Neural Signatures of Early Learning
Perception  of   the  phonetic  units  of   speechthe  vowels  and
consonants  that   make  up  wordsis  one  of   the  most   widely
studied   linguistic   skills   in   infancy   and   adulthood.   Phonetic
perception  and  the  role  of   experience  in  learning  is  studied  in
newborns,   during  development   as   infants   are   exposed  to  a
particular language, in adults from different cultures, in children
with   developmental   disabilities,   and   in   nonhuman   animals.
Phonetic  perception  studies  provide  critical  tests  of  theories  of
language development and its evolution. An extensive literature
on developmental speech perception exists and brain measures
are adding substantially to our knowledge of phonetic develop-
ment   and  learning  (see  Kuhl,   2004;   Kuhl   et   al.,   2008;   Werker
and Curtin, 2005).
In the last decade, brain and behavioral studies indicate a very
complex set of interacting brain systems in the initial acquisition
of language, many of which appear to reect adult language pro-
cessing,  even  early  in  infancy  (Dehaene-Lambertz  et al.,  2006).
In  adulthood,   language  is  highly  modularized,   which  accounts
for   the  very   specic  patterns   of   language  decits   and  brain
damage in adult patients following stroke (P.K.K. and A. Dama-
sio,   Principles  of   Neuronal   Science  V  [McGraw  Hill],   in  press,
E.R.   Kandel,   J.H.   Schwartz,   T.M.   Jessell,   S.   Siegelbaum,   and
J.  Hudspeth,  eds).  Infants,  however,  must  begin  life  with  brain
systems  that   allow  them  to  acquire  any  and  all   languages  to
which  they  are  exposed,   and  can  acquire  language  as  either
an   auditory-vocal   or   a   visual-manual   code,   on   roughly   the
same   timetable   (Petitto   and   Marentette,   1991).   We   are   in
a nascent stage of understanding the brain mechanisms under-
lying  infants   early  exibility  with  regard  to  the  acquisition  of
language    their   ability  to  acquire  language  by  eye  or   by  ear,
and acquire one or multiple languages  and also the reduction
in  this  initial   exibility  that  occurs  with  age,  which  dramatically
decreases  our   capacity  to  acquire  a  new  language  as  adults
(Newport, 1990). The infant brain is exquisitely poised to crack
the speech code in a way that the adult brain cannot. Uncover-
ing why this is the case is a very interesting puzzle.
In this review I will also explore a current working hypothesis
and  its  implications  for   brain  developmentthat   to  crack  the
speech   code   requires   infants   to  combine   a   powerful   set   of
domain-general   computational   and  cognitive   skills   with  their
equally  extraordinary  social   skills.   Thus,   the  underlying  brain
systems  must   mutually  inuence  one  another  during  develop-
ment.   Experience  with  more  than  one  language,   for   example,
as in the case of people who are bilingual, is related to increases
in particular cognitive skills, both in adults (Bialystok, 1991) and
in children (Carlson and Meltzoff, 2008). Moreover, social inter-
action  appears  to  be  necessary  for   language  acquisition,   and
an   individual   infants   social   behavior   can   be   linked   to   their
ability to learn newlanguage material (Kuhl et al., 2003; B.T. Con-
boy   et   al.,   2008,   Joint   engagement   with   language   tutors
predicts learning of second-language phonetic stimuli, presen-
tation  at  the  16th  International   Conference  on  Infancy  Studies,
Vancouver).
Regarding the social effects, I have suggested that the social
brainin  ways  we  have  yet  to  understandgates   the  com-
putational   mechanisms   underlying  learning  in  the  domain  of
language  (Kuhl,   2007).   The  assertion  that   social   factors  gate
language  learning  explains  not   only  how  typically  developing
children  acquire  language,   but   also  why  children  with  autism
exhibit   twin   decits   in   social   cognition   and   language,   and
why nonhuman  animals  with  impressive computational  abilities
do   not   acquire   language.   Moreover,   this   gating   hypothesis
may  explain  why  social   factors  play  a  far  more  signicant  role
than   previously   realized   in   human   learning   across   domains
throughout our lifetimes (Meltzoff et al., 2009). Theories of social
learning have traditionally emphasized the role of social factors
in  language  acquisition  (Bruner,   1983;   Vygotsky,   1962;   Toma-
sello, 2003a, 2003b). However, these models have emphasized
the development of lexical understanding and the use of others
communicative   intentions   to   help   understand   the   mapping
between  words  and  objects.  The  new  data  indicate  that  social
interaction  gates  an  even  more  basic  aspect  of  language  
learning  of   the  elementary  phonetic  units  of   language    and
this suggests a more fundamental connection between the brain
mechanisms  underlying  human  social   understanding  and  the
origins of language than has previously been hypothesized.
In the next decade, the methods of modern neuroscience will
be  used  to  explore  how  the  integration  of  brain  activity  across
specialized   brain   systems   involved   in   linguistic,   social,   and
cognitive  analyses  take  place.   These  approaches,   as  well   as
others  described  here,   will   lead  us  toward  a  view  of   language
acquisition in the human child that could be transformational.
The Learning Problem
Language   learning   is   a   deep   puzzle   that   our   theories   and
machines  struggle  to  solve  but  children  accomplish  with  ease.
How  do  infants  discover   the  sounds  and  words  used  in  their
particular  language(s)   when  the  most  sophisticated  computers
cannot?  What  is  it  about  the  human  mind  that  allows  a  young
child, merely one year old, to understand the words that induce
meaning in our collective minds, and to begin to use those words
to   convey   their   innermost   thoughts   and   desires?   A   childs
budding ability to express a thought through words is a breath-
taking feat of the human mind.
Research on infants phonetic perception in the rst year of life
shows how computational,  cognitive, and social skills combine
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to  form  a  very  powerful   learning  mechanism.  Interestingly,  this
mechanism  does  not  resemble  Skinners  operant  conditioning
and  reinforcement   model   of   learning,   nor   Chomskys  detailed
view  of   parameter  setting.   The  learning  processes  that  infants
employ  when  learning  from  exposure  to  language  are  complex
and  multi-modal,   but   also  childs  play  in  that   it   grows  out   of
infants  heightened  attention  to  items  and  events  in  the  natural
world: the faces, actions, and voices of other people.
Language Exhibits a Critical Period for Learning
A  stage-setting  concept   for   human  language  learning  is   the
graph  shown  in  Figure  1,   redrawn  from  a  study  by  Johnson
and Newport on English grammar in native speakers of Korean
learning  English  as  a  second  language  (1989).   The  graph  as
rendered  shows   a   simplied  schematic   of   second  language
competence   as   a   function   of   the   age   of   second   language
acquisition.
Figure  2  is  surprising  from  the  standpoint   of   more  general
human  learning.  In  the  domain  of  language,  infants  and  young
children are superior learners when compared to adults, in spite
of  adults   cognitive  superiority.  Language  is  one  of  the  classic
examples  of   a  critical   or   sensitive   period  in  neurobiology
(Bruer,   2008;   Johnson   and   Newport,   1989;   Knudsen,   2004;
Kuhl, 2004; Newport et al., 2001).
Scientists are generally in agreement that this learning curve is
representative of data across a wide variety of second-language
learning   studies   (Bialystok   and  Hakuta,   1994;   Birdsong   and
Molis,   2001;   Flege  et   al.,   1999;   Johnson  and  Newport,   1989;
Kuhl   et   al.,   2005a,   2008;   Mayberry   and  Lock,   2003;   Neville
et   al.,   1997;   Weber-Fox   and   Neville,   1999;   Yeni-Komshian
et   al.,   2000;   though  see  Birdsong,   1992;   White  and  Genesee,
1996).  Moreover,  not  all   aspects  of  language  exhibit  the  same
temporally  dened  critical   windows.  The  developmental   tim-
ing of critical periods for learning phonetic, lexical, and syntactic
levels of language vary, though studies cannot yet document the
precise   timing   at   each   individual   level.   Studies   indicate,   for
example,   that   the  critical   period  for   phonetic  learning  occurs
prior to the end of the rst year, whereas syntactic learning our-
ishes  between  18  and  36  months  of  age.  Vocabulary  develop-
ment explodes at 18 months of age, but does not appear to be
as restricted by age as other aspects of language learningone
can  learn  new  vocabulary  items  at  any  age.  One  goal   of  future
research  will   be  to  document   the  opening   and  closing   of
critical   periods  for   all   levels  of   language  and  understand  how
they overlap and why they differ.
Given widespread agreement on the fact that we do not learn
equally  well   over   the  lifespan,   theory  is  currently  focused  on
attempts to explain the phenomenon. What accounts for adults
inability to learn a new language with the facility of an infant?
One of  the candidate  explanations  was  Lennebergs  hypoth-
esis that development of the corpus callosum affected language
learning  (Lenneberg,   1967;   Newport  et  al.,   2001).   More  recent
hypotheses   take   a   different   perspective.   Newport   raised   a
less  is  more  hypothesis,  which  suggests  that  infants  limited
cognitive capacities actually allowsuperior learning of the simpli-
ed  language  spoken  to  infants  (Newport,   1990).   Work  in  my
laboratory led me to advance the concept of neural commitment,
the  idea  that  neural   circuitry  and  overall   architecture  develops
early in infancy to detect the phonetic and prosodic patterns of
speech (Kuhl, 2004; Zhang et al., 2005, 2009). This architecture
is  designed  to  maximize  the  efciency  of   processing  for   the
language(s)   experienced  by  the  infant.   Once  established,   the
neural architecture arising from French or Tagalog, for example,
impedes  learning  of   new  patterns  that   do  not   conform.   I   will
return to the concept of the critical period for language learning,
and the role that computational, cognitive, and social skills may
play in accounting for the relatively poor  performance  of adults
attempting to learn a second language.
Focal Example: Phoneme Learning
The  worlds  languages  contain  approximately  600  consonants
and 200 vowels (Ladefoged, 2001). Each language uses a unique
set   of   about   40  distinct   elements,   phonemes,   which  change
the  meaning  of   a  word  (e.g.,   from  bat   to  pat   in  English).   But
phonemes are actually groups of non-identical sounds, phonetic
units,   which  are  functionally  equivalent   in  the  language.   Japa-
nese-learning  infants  have  to  group  the  phonetic  units  r  and  l
into a single phonemic category (Japanese r), whereas English-
learning  infants  must   uphold  the  distinction  to  separate  rake
from  lake.   Similarly,   Spanish  learning  infants  must   distinguish
phonetic   units   critical   to   Spanish   words   (bano   and   pano),
whereas English learning infants must combine them into a sin-
gle  category  (English  b).   If   infants  were  exposed  only  to  the
subset  of  phonetic  units  that  will   eventually  be  used  phonemi-
cally to differentiate words in their language, the problem would
be   trivial.   But   infants   are   exposed   to   many   more   phonetic
variants than will be used phonemically,  and have to derive the
appropriate   groupings   used   in   their   specic   language.   The
babys  task  in  the  rst  year  of  life,   therefore,  is  to  make  some
progress in guring out the composition of the 40-odd phonemic
categories in their language(s) before trying to acquire words that
depend on these elementary units.
Learning  to  produce the  sounds  that will  characterize  infants
as  speakers  of   their   mother   tongue   is  equally  challenging,
and is not completely mastered until the age of 8 years (Ferguson
et   al.,   1992).   Yet,   by  10  months   of   age,   differences   can  be
Figure 2.   The Relationship between Age of Acquisition of a Second
Language and Language Skill
Adapted from Johnson and Newport (1989).
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discerned in the babbling of infants raised in different countries
(de  Boysson-Bardies,  1993),  and  in  the  laboratory,  vocal  imita-
tion can be elicited by 20 weeks (Kuhl and Meltzoff, 1982). The
speaking  patterns  we  adopt   early  in  life  last   a  lifetime  (Flege,
1991).   My  colleagues  and  I   have  suggested  that   this  kind  of
indelible  learning  stems  from  a  linkage  between  sensory  and
motor experience; sensory experience with a specic language
establishes  auditory  patterns  stored in memory  that are unique
to   that   language,   and   these   representations   guide   infants
successive   motor   approximations   until   a   match   is   achieved
(Kuhl   and  Meltzoff,   1996).   This  ability  to  imitate  vocally  may
also  depend  on  the  brains  social   understanding  mechanisms
which form a human mirroring system for seamless social inter-
action  (Hari   and  Kujala,  2009),  and  we  will   revisit  the  impact  of
the brains social understanding systems later in this review.
What enables the kind of learning we see in infants for speech?
No  machine  in  the  world  can  derive  the  phonemic  inventory  of
a  language  from  natural   language  input   (Rabiner   and  Huang,
1993),  though  models  improve  when  exposed  to  motherese,
the linguistically simplied and acoustically exaggerated speech
that   adults  universally  use  when  speaking  to  infants  (de  Boer
and  Kuhl,   2003).   The  variability  in  speech  input   is  simply  too
enormous;  Japanese  adults  produce  both  English  r-  and  l-  like
sounds,   exposing   Japanese   infants   to   both   sounds   (Lotto
et al., 2004; Werker et al., 2007). How do Japanese infants learn
that these two sounds do not distinguish words in their language,
and that these differences should be ignored? Similarly, English
speakers produce Spanish b and p, exposing American infants
to both categories of sound (Abramson and Lisker, 1970). How
do  American  infants  learn  that  these  sounds  do  not  distinguish
words   in  English?  An  important   discovery  in  the  1970s  was
that  infants  initially  hear  all   these  phonetic  differences  (Eimas,
1975; Eimas et al., 1971; Lasky et al., 1975; Werker and Lalonde,
1988).   What   we   must   explain  is   how  infants   learn  to  group
phonetic units into phonemic categories that make a difference
in their language.
The Timing of Phonetic Learning
Another important discovery in the 1980s identied the timing of
a crucial change in infant perception. The transition froman early
Figure 3.   Effects of Age and Experience on
Phonetic Discrimination
Effects  of   age  on  discrimination  of   the  American
English   /ra-la/   phonetic   contrast   by   American
and  Japanese  infants  at   68  and  1012  months
of   age.   Mean  percent   correct   scores  are  shown
with   standard   errors   indicated   (adapted   from
Kuhl et al., 2006).
universal perceptual ability to distinguish
all   the   phonetic   units   of   all   languages
to  a  more  language  specic  pattern  of
perception  occurred  very  early  in  devel-
opmentbetween  6  and  12  months  of
age  (Werker  and  Tees,   1984),   and  initial
work demonstrated  that infants  percep-
tion   of   nonnative   distinctions   declines
during  the  second  half  of  the  rst  year  of  life  (Best  and  McRo-
berts, 2003; Rivera-Gaxiola et al., 2005; Tsao et al., 2006; Werker
and Tees, 1984). Work in this laboratory also established a new
fact: At the same time that nonnative perception declines, native
language speech perception shows a signicant increase. Japa-
nese  infants   discrimination  of   English  r-l   declines  between  8
and  10  months  of  age,  while  at  the  same  time  in  development,
American  infants  discrimination  of  the  same  sounds  shows  an
increase (Kuhl et al., 2006) (Figure 3).
Phonetic Learning Predicts the Rate
of Language Growth
We   argued   that   the   increase   observed   in   native-language
phonetic perception represented a critical step in initial language
learning  and  promoted  language  growth  (Kuhl   et  al.,  2006).  To
test this hypothesis, we designed a longitudinal study examining
whether a measure of phonetic perception predicted childrens
language  skills  measured  18  months  later.   The  study  demon-
strated  that  infants  phonetic  discrimination  ability  at  6  months
of age was signicantly correlated with their success in language
learning  at   13,   16,   and  24  months  of   age  (Tsao  et   al.,   2004).
However, we recognized that in this initial study the association
we observed might be due to infants cognitive skills, such as the
ability  to  perform  in  the  behavioral   task,  or  to  sensory  abilities
that   affected  auditory  resolution  of   the  differences  in  formant
frequencies that underlie phonetic distinctions.
To address these issues, we assessed both native and nonna-
tive  phonetic  discrimination  in  7-month-old  infants,   and  used
both a behavioral (Kuhl et al., 2005a) and an event-related poten-
tial measure, the mismatch negativity (MMN), to assess infants
performance (Kuhl et al., 2008). Using a neural measure removed
potential cognitive effects on performance; the use of both native
and  nonnative  contrasts   addressed  the  sensory  issue,   since
better   sensory   abilities   would  be   expected  to  improve   both
native and nonnative speech discrimination.
The  native  language  neural   commitment   (NLNC)   view  sug-
gested  that   future   language   measures   would  be   associated
with early performance on both native and nonnative contrasts,
but in opposite directions. The results conformed to this predic-
tion.   When  both  native  and  nonnative  phonetic  discrimination
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was measured in the same infants at 7.5 months of age, better
native  language  perception  predicted  signicantly  higher   lan-
guage  abilities   between  18  and  30  months  of   age,   whereas
better nonnative phonetic perception at the same age predicted
poorer language abilities at the same future points in time (Kuhl
et al., 2005a, 2008). As  shown in  Figure 4,  the ERP measure  at
7.5  months  of   age  (Figure  4A)   provided  an  MMN  measure  of
speech  discrimination  for  both  native  and  nonnative  contrasts;
greater   negativity  of   the  MMN  reects  greater   discrimination
(Figure  4B).   Hierarchical   linear  growth  modeling  of   vocabulary
between 14 and 30 months for MMN values of +1SD and 1SD
(Figure  4C)   revealed  that   both  native  and  nonnative  phonetic
discrimination signicantly predict future language, but in oppo-
site  directions  with  better   native  MMNs  predicting  advanced
future  language  development  and  better  nonnative  MMNs  pre-
dicting less advanced future language development.
The  results  are  explained  by  NLNC:   better   native  phonetic
discrimination  enhances  infants   skills  in  detecting  words  and
this   vaults   them  toward  language,   whereas   better   nonnative
abilities  indicated  that   infants  remained  at   an  earlier   phase  of
development      sensitive   to  all   phonetic   differences.   Infants
ability   to  learn  which  phonetic  units   are  relevant   in  the  lan-
guage(s) they are exposed to, while decreasing or inhibiting their
attention  to  the  phonetic  units  that  do  not  distinguish  words  in
their   language,   is   the   necessary   step  required  to  begin   the
path toward language. These data led to a theoretical argument
that   an  implicit   learning  process   commits   the  brains   neural
circuitry  to  the  properties  of  native-language  speech,  and  that
neural   commitment   has   bi-directional   effects      it   increases
learning  for  patterns  (such  as  words)   that  are  compatible  with
the  learned  phonetic  structure,  while  decreasing  perception  of
Figure 4.   Speech Discrimination Predicts
Vocabulary Growth
(A)   A   7.5-month-old   infant   wearing   an   ERP
electrocap.
(B)  Infant  ERP  waveforms  at  one  sensor  location
(CZ)   for   one   infant   are   shown   in   response   to
a   native   (English)   and   nonnative   (Mandarin)
phonetic  contrast   at   7.5  months.   The  mismatch
negativity  (MMN)   is  obtained  by  subtracting  the
standard waveform (black) fromthe deviant wave-
form  (English,   red;   Mandarin,   blue).   This  infants
response  suggests  that  native-language  learning
has   begun   because   the   MMN   negativity   in
response to the native English contrast is consid-
erably stronger than that to the nonnative contrast.
(C) Hierarchical linear growth modeling of vocabu-
lary  growth  between  14  and  30  months  for  MMN
values of +1 SD and 1 SD on the native contrast
at  7.5  months  (C,  left)  and  vocabulary  growth  for
MMNvalues of +1 SD and 1 SDon the nonnative
contrast   at   7.5  months  (C,   right)   (adapted  from
Kuhl et al., 2008).
nonnative patterns that do not match the
learned scheme (Kuhl, 2004).
Recent   data   indicate   very   long-term
associations   between   infants   phonetic
perception   and   future   language   and
reading  skills.  Our  studies  show  that  the
ability  to  discriminate  two  simple  vowels
at  6  months  of  age  predicts  language  abilities  and  pre-reading
skills such as rhyming at the age of 5 years, an association that
holds  regardless  of   socio-economic  status  and  the  childrens
language skills at 2.5 years of age (Cardillo, 2010).
A Computational Solution to Phonetic Learning
A  surprising  new  form  of   learning,   referred  to  as   statistical
learning   (Saffran  et   al.,   1996),   was  discovered  in  the  1990s.
Statistical learningis computational innature, andreects implicit
rather than explicit learning. It relies on the ability to automatically
pick up and learn from the statistical regularities that exist in the
stream  of   sensory  information  we  process,   and  strongly  inu-
ences both phonetic learning and early word learning.
For   example,   data  show  that   the  developmental   change  in
phonetic  perception  between  the  ages  of   6  and  12  months  is
supported by infants sensitivity to the distributional frequencies
of the sounds in the language(s) they hear, and that this affects
perception. To illustrate, adult speakers of English and Japanese
produce both English r- and l-like sounds, even though English
speakers  hear  /r/  and  /l/  as  distinct  and  Japanese  adults  hear
them  as  identical.   Japanese  infants  are  therefore  exposed  to
both  /r/   and  /l/   sounds,   even  though  they   do  not   represent
distinct   categories  in  Japanese.   The  presence  of   a  particular
sound  in  ambient   language,   therefore,   does  not   account   for
infant   learning.   However,   distributional   frequency  analyses  of
English and Japanese show differential patterns of distributional
frequency;  in  English,  /r/  and  /l/  occur  very  frequently;  in  Japa-
nese, the most frequent sound of this type is Japanese /r/ which
is  related  to  but   distinct   from  both  the  English  variants.   Can
infants learn fromthis kind of distributional information in speech
input?
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A variety of studies show that infants perception of phonetic
categories  is  affected  by  distributional   patterns  in  the  sounds
they  hear.   In  one  study  using  very  simple  stimuli   and  short-
term  exposure  in  the  laboratory,   6-   and  8-month-old  infants
were  exposed  for  2  min  to  8  sounds  that  formed  a  continuum
of   sounds  from  /da/  to  /ta/  (Maye  et  al.,   2002;   see  also  Maye
et  al.,  2008).  All   infants  heard  all   the  stimuli   on  the  continuum,
but   experienced   different   distributional   frequencies   of   the
sounds. A bimodal group heard more frequent  presentations
of   stimuli   at   the  ends  of   the  continuum;   a  unimodal   group
heard  more  frequent   presentations  of   stimuli   from  the  middle
of   the  continuum.   After   familiarization,   infants  in  the  bimodal
group discriminated the /da/ and /ta/ sounds, whereas those in
the unimodal group did not. Furthermore, while previous studies
show that infants integrate the auditory and visual instantiations
of   speech   (Kuhl   and  Meltzoff,   1982;   Patterson   and  Werker,
1999), more recent studies showthat infants detection of statis-
tical   patterns  in  speech  stimuli,   like  those  used  by  Maye  and
her   colleagues,   is  inuenced  both  by  the  auditory  event   and
the  sight  of  a  face  articulating  the  sounds.  When  exposed  only
to  the  ambiguous  auditory  stimuli   in  the  middle  of   a  speech
continuum,   infants   discriminated   the   /da-ta/   contrast   when
each  auditory  stimulus  was  paired  with  the  appropriate  face
articulating  either   /da/   or   /ta/;   discrimination  did  not   occur   if
only   one   face   was   used   with   all   auditory   stimuli   (Teinonen
et al., 2008).
Cross-cultural   studies  also  indicate  that  infants  are  sensitive
to   the   statistical   distribution   of   sounds   they   hear   in   natural
language.   Infants  tested  in  Sweden  and  the  United  States  at
6  months  of   age  showed  a  unique  response  to  vowel   sounds
that  represent  the  distributional   mean  in  productions  of  adults
who speak the language (i.e., prototypes); this response was
shown  only  for  stimuli   infants  had  been  exposed  to  in  natural
language (native-vowel prototypes), not foreign-language vowel
prototypes  (Kuhl   et  al.,  1992).  Taken  as  a  whole,  these  studies
indicate  infants  pick  up  the  distributional   frequency  patterns  in
ambient   speech,   whether   they  experience  them  during  short-
term laboratory experiments, or over months in natural environ-
ments, and can learn from them.
Statistical learning also supports word learning. Unlike written
language,  spoken  language  has  no  reliable  markers  to  indicate
word boundaries in typical phrases. How do infants nd words?
New  experiments  show  that,  before  8-month-old  infants  know
the meaning of a single word, they detect likely word candidates
through sensitivity to the transitional probabilities between adja-
cent syllables. In typical words, like in the phrase, pretty baby,
the  transitional   probabilities  between  the  two  syllables  within
a  word,  such  as  those  between  pre  and  tty,  and  between
ba   and  by,   are  higher   than  those  between  syllables  that
cross  word  boundaries,   such  and  tty   and  ba.   Infants  are
sensitive to these probabilities. When exposed to a 2 min string
of nonsense syllables, with no acoustic breaks or other cues to
word boundaries, they treat syllables that have high transitional
probabilities  as  words  (Saffran  et  al.,  1996).  Recent  ndings
show that even sleeping newborns detect this kind of statistical
structure  in  speech,   as  shown  in  studies  using  event-related
brain  potentials  (Teinonen  et  al.,  2009).  Statistical   learning  has
been  shown  in  nonhuman  animals  (Hauser  et  al.,  2001),  and  in
humans  for   stimuli   outside  the  realm  of   speech,   operating  for
musical   and  visual   patterns  in  the  same  way  as  speech  (Fiser
and  Aslin,   2002;   Kirkham  et   al.,   2002;   Saffran  et   al.,   1999).
Thus,   a  very  basic  implicit   learning  mechanism  allows  infants,
from  birth,  to  detect  statistical  structure  in  speech  and  in  other
signals.  Infants  sensitivity  to  this  statistical   structure  can  inu-
ence both phoneme and word learning.
Effects of Social Interaction on Computational Learning
As  reviewed,   infants  show  robust  learning  effects  in  statistical
learning  studies  when  tested  in  the  laboratory  with  very  simple
stimuli  (Maye  et al., 2002, 2008; Saffran  et al., 1996).  However,
complex   natural   language   learning   may   challenge   infants   in
a  way  that  these  experiments  do  not.  Are  there  constraints  on
statistical   learning   as   an   explanation   for   natural   language
learning?  A series  of  later  studies suggest  that this  is  the  case.
Laboratory  studies  testing  infant   phonetic  and  word  learning
from  exposure  to  a  complex  natural   language  suggest   limits
on  statistical   learning,  and  provide  new  information  suggesting
that   social   brain  systems  are  integrally  involved,   and,   in  fact,
may be necessary to explain natural language learning.
The new experiments tested infants in the following way: At 9
months  of  age,  the  age  at  which  the  initial   universal   pattern  of
infant   perception  has  changed  to  one  that   is  more  language-
specic, infants were exposed to a foreign language for the rst
time   (Kuhl   et   al.,   2003).   Nine-month-old   American   infants
listened  to  4  different   native  speakers  of   Mandarin  during  12
sessions   scheduled   over   45   weeks.   The   foreign   language
tutors read books and played with toys in sessions that were
unscripted.  A  control   group  was  also  exposed  for  12  sessions
but   heard  only  English  from  native  speakers.   After   infants  in
the   experimental   Mandarin   exposure   group  and  the   English
control   group  completed  their   sessions,   all   were  tested  with
a  Mandarin  phonetic  contrast   that   does  not   occur   in  English.
Both behavioral and ERP methods were used. The results indi-
cated  that   infants  had  a  remarkable  ability  to  learn  from  the
live-person sessions  after exposure, they performed signi-
cantly  better  on  the  Mandarin  contrast  when  compared  to  the
control   group  that   heard  only  English.   In  fact,   they  performed
equivalently  to  infants  of   the  same  age  tested  in  Taiwan  who
had been listening to Mandarin for 10 months (Kuhl et al., 2003).
The study revealed that infants can learn fromrst-time natural
exposure to a foreign language at 9 months, and answered what
was  initially  the  experimental   question:   can  infants  learn  the
statistical structure of phonemes  in a new language  given rst-
time  exposure  at   9  months  of   age?  If   infants  required  a  long-
term  history   of   listening  to  that   languageas   would  be   the
case  if   infants  needed  to  build  up  statistical   distributions  over
the  initial   9  months  of   lifethe  answer   to  our   question  would
have  been  no.   However,   the  data  clearly  showed  that   infants
are  capable  of   learning  at   9  months  when  exposed  to  a  new
language.   Moreover,   learning  was  durable.   Infants  returned  to
the  laboratory  for  their  behavioral   discrimination  tests  between
2  and  12  days  after  the  nal   language  exposure  session,   and
between 8 and 33 days for their ERP measurements. No forget-
ting  of  the  Mandarin  contrast  occurred  during  the  2  to  33  day
delay.
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We were struck by the fact that infants exposed to Mandarin
were socially very engaged in the language sessions and began
to wonder about the role of social interaction in learning. Would
infants learn if they were exposed to the same information in the
absence of a human being, say, via television or an audiotape?
If  statistical   learning  is  sufcient,   the  television  and  audio-only
conditions should produce learning. Infants who were exposed
to  the  same  foreign-language  material   at  the  same  time  and  at
the  same  rate,   but   via  standard  television  or   audiotape  only,
showed  no  learningtheir  performance  equaled  that  of  infants
in the control group who had not been exposed to Mandarin at
all (Figure 5).
Thus, the presence of a human being interacting with the infant
during language exposure, while not required for simpler statis-
tical-learning tasks (Maye et al., 2002; Saffran et al., 1996), is crit-
ical for learning in complex natural language-learning situations
in which infants heard an average of 33,000 Mandarin syllables
from  a  total   of   four   different   talkers  over   a  45-week  period
(Kuhl et al., 2003).
Explaining the Effect of Social Interaction
on Language Learning
The impact of social interaction on language learning (Kuhl et al.,
2003)   led  to  the  development  of   the  Social   Gating  Hypothesis
Figure 5.   Social Interaction Facilitates
Foreign Language Learning
The need for social interaction in language acqui-
sition   is   shown   by   foreign-language   learning
experiments. Nine-month-old infants experienced
12   sessions   of   Mandarin   Chinese   through   (A)
natural   interaction  with  a  Chinese  speaker   (left)
or the identical linguistic information delivered via
television  (right)   or   audiotape  (data  not   shown).
(B) Natural interaction resulted in signicant learn-
ing  of  Mandarin  phonemes  when  compared  with
a  control   group  who  participated  in  interaction
using English (left). No learning occurred fromtele-
vision or audiotaped presentations (middle). Data
for   age-matched  Chinese  and  American  infants
learning   their   native   languages   are   shown   for
comparison (right) (adapted fromKuhl et al., 2003).
(Kuhl,   2007).   Gating   suggested   that
social   interaction   creates   a   vastly   dif-
ferent   learning   situation,   one   in   which
additional   factors  introduced  by  a  social
context   inuence  learning.   Gating  could
operate  by  increasing:  (1)   attention  and/
or  arousal,  (2)  information,  (3)  a  sense  of
relationship, and/or (4) activation of brain
mechanisms   linking   perception   and
action.
Attention and arousal affect learning in
a wide variety of domains (Posner, 2004),
and  could  impact   infant   learning  during
exposure to a newlanguage. Infant atten-
tion,   measured   in   the   original   studies,
was   signicantly   higher   in  response  to
the  live  person  than  to  either   inanimate
source  (Kuhl   et   al.,   2003).   Attention  has  been  shown  to  play
a role in the statistical learning studies as well. High-attender
10-month-olds,   measured   as   the   amount   of   infant   looking
time,  learned  from  bimodal   stimulus  distributions  when  low-
attenders   did   not   (Yoshida   et   al.,   2006;   see   also   Yoshida
et   al.,   2010).   Heightened  attention  and  arousal   could  produce
an overall increase in the quantity or quality of the speech infor-
mation that infants encode and remember. Recent data suggest
a role for attention in adult second-language phonetic learning as
well (Guion and Pederson, 2007).
Asecond hypothesis was raised to explain the effectiveness of
social interaction  the live learning situation allowed the infants
and tutors to interact, and this added contingent and reciprocal
social   behaviors   that   increased  information  that   could  foster
learning.  During  live  exposure,  tutors  focused  their  visual   gaze
on  pictures  in  the  books  or  on  the  toys  as  they  spoke,  and  the
infants gaze tended to follow the speakers gaze, as previously
observed in social learning  studies (Baldwin,  1995; Brooks and
Meltzoff,   2002).   Referential   information  is  present   in  both  the
live  and  televised  conditions,   but  it  is  more  difcult  to  pick  up
via  television,  and  is  totally  absent  during  audio-only  presenta-
tions.   Gaze   following   is   a   signicant   predictor   of   receptive
vocabulary  (Baldwin,  1995;  Brooks  and  Meltzoff,  2005;  Mundy
and Gomes, 1998), and may help infants link the foreign speech
720   Neuron 67, September 9, 2010 2010 Elsevier Inc.
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to the objects they see. When 9-month-old infants followa tutors
line  of   regard  in  our   foreign-language   learning  situation,   the
tutors  specic  meaningful   social   cues,   such  as  eye  gaze  and
pointing  to  an  object  of  reference,   might  help  infants  segment
word-like  units  from  ongoing  speech,  thus  facilitating  phonetic
learning of the sounds contained in those words.
If   this   hypothesis   is   correct,   then   the   degree   to   which
infants  interact  and  engage  socially  with  the  tutor  in  the  social
language-learning   situation   should   correlate   with   learning.
In   studies   testing   this   hypothesis,   9-month-old   infants   were
exposed  to  Spanish  (Conboy  and  Kuhl,   2010),   extending  the
experiment   to   a   new  language.   Other   changes   in   method
expanded the tests of language learning to include both Spanish
phonetic learning and Spanish word learning, as well as adding
measures  of   specic  interactions   between  the  tutor   and  the
infant to examine whether interactive episodes could be related
to learning of either phonemes or words.
The results conrmed Spanish language learning, both of the
phonetic   units   of   the   language   and   the   lexical   units   of   the
language  (Conboy  and  Kuhl,   2010).   In  addition,   these  studies
answered  a  key  questiondoes  the  degree  of   infants   social
engagement  during  the  Spanish  exposure  sessions  predict  the
degree  of   language  learning  as  shown  by  ERP  measures  of
Spanish  phoneme  discrimination?  Our   results  (Figure  6)   show
that   they  do  (Conboy  et   al.,   2008a).   Infants  who  shifted  their
gaze between the tutors eyes and newly introduced toys during
the  Spanish  exposure  sessions  showed  a  more  negative  MMN
(indicating   greater   neural   discrimination)   in   response   to   the
Spanish  phonetic  contrast.   Infants   who  simply   gazed  at   the
tutor   or   at   the  toy,   showing  fewer   gaze  shifts,   produced  less
negative MMN responses. The degree of infants social engage-
ment   during   sessions   predicted   both   phonetic   and   word
learninginfants   who   were   more   socially   engaged   showed
greater   learning  as  reected  by  ERP  brain  measures  of   both
phonetic and word learning.
Language, Cognition, and Bilingual
Language Experience
Specic  cognitive  abilities,  particularly  the  executive  control   of
attention and the ability to inhibit a pre-potent response (inhibi-
tory  control),   are  associated  with  exposure  to  more  than  one
language.   Bilingual   adult   speakers  show  enhanced  executive
control   skills   (Bialystok,   1999,   2001;   Bialystok   and   Hakuta,
1994;  Wang  et  al.,   2009),   a  nding  that  has  been  extended  to
young   school-aged   bilingual   children   (Carlson   and   Meltzoff,
2008).   In  monolingual   infants,   the  decline  in  discrimination  of
nonnative   contrasts   (which   promotes   more   rapid   growth   in
language, see Figure 4C) is associated with enhanced inhibitory
control, suggesting that domain-general cognitive mechanisms
underlying  attention  may  play  a  role  in  enhancing  performance
on  native  and  suppressing  performance  on  nonnative  phonetic
contrasts   early   in   development   (Conboy   et   al.,   2008b;   Kuhl
et  al.,  2008).  In  support  of  this  view,  it  is  noteworthy  that  in  the
Spanish  exposure  studies, a  median  split  of the  post-exposure
MMNphonetic discrimination data revealed that infants showing
greater   phonetic  learning  had  higher   cognitive  control   scores
post-exposure.   These  same  infants  did  not   differ   in  their   pre-
exposure   cognitive   control   tests   (Conboy,   Sommerville,   and
P.K.K., unpublished data). Taken as a whole, the data are consis-
tent   with  the  notion  that   cognitive  skills  are  strongly  linked  to
phonetic  learning  at   the  initial   stage  of   phonetic  development
(Kuhl et al., 2008).
The Social Brain and Language Learning Mechanisms
While attention and the information provided by interaction with
another may help explain social learning effects for language, it is
also  possible  that   social   contexts  are  connected  to  language
learning  through  even  more  fundamental   mechanisms.   Social
interaction may activate brain mechanisms that invoke a sense
of   relationship  between  the  self   and  other,   as  well   as  social
understanding  systems   that   link   perception  and  action  (Hari
and  Kujala,   2009).   Neuroscience  research  focused  on  shared
neural   systems  for  perception  and  action  have  a  long  tradition
in speech research (Liberman and Mattingly, 1985), and interest
in mirror systems for social cognition have re-invigorated this
Figure 6.   Social Engagement Predicts Foreign Language Learning
(A)   Nine-month-old   infants   experienced   12   sessions   of   Spanish   through
natural interaction with a Spanish speaker.
(B) The neural response to the Spanish phonetic contrast (d-t) and the propor-
tion of gaze shifts during Spanish sessions were signicantly correlated (from
Conboy et al., unpublished data).
Neuron 67, September 9, 2010 2010 Elsevier Inc.   721
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tradition  (Kuhl   and  Meltzoff,   1996;   Meltzoff   and  Decety,   2003;
Pulvermuller,   2005;   Rizzolatti,   2005;   Rizzolatti   and  Craighero,
2004). Might the brain systems that link perception and produc-
tion for speech be engaged when infants experience social inter-
action during language learning?
The  effects  of  Spanish  language  exposure  extend  to  speech
production,   and   provide   evidence   of   an   early   coupling   of
sensory-motor  learning  in  speech.  The  English-learning  infants
who  were  exposed  to  12  sessions   of   Spanish  (Conboy   and
Kuhl,   2010)   showed  subsequent   changes  in  their   patterns  of
vocalization  (N.   Ward  et   al.,   2009,   Consequences  of   short-
term  language  exposure  in  infancy  on  babbling,   poster   pre-
sented at the 158th meeting of the Acoustical Society of Amer-
ica, San Antonio). When presented with language froma Spanish
speaker (but not froman English speaker), a newpattern of infant
vocalizations   was   evoked,   one   that   reected   the   prosodic
patterns  of  Spanish,  rather  than  English.  This  only  occurred  in
response  to  Spanish,   and  only  occurred  in  infants   who  had
been exposed to Spanish in the laboratory experiment.
Neuroscience  studies  using  speech  and  imaging  techniques
have   the   capacity   to   examine   whether   the   brain   systems
involved in speech production are activated when infants listen
to  speech.   Two  new  infant  studies  take  a  rst  step  toward  an
answer   to  this  developmental   issue.   Imada  et   al.   (2006)   used
magnetoenchephalography (MEG) to study newborns, 6-month-
old  infants,   and  12-month-old  infants   while   they   listened  to
nonspeech, harmonics, and syllables (Figure 7). Dehaene-Lam-
bertz   and  colleagues  (2006)   used  fMRI   to  scan  3-month-old
infants while they listened to sentences. Both studies show acti-
vation in brain areas responsible for speech production (the infe-
rior  frontal,   Brocas  area)   in  response  to  auditorally  presented
speech.   Imada   et   al.   reported   synchronized   activation   in
response  to  speech  in  auditory  and  motor   areas  at   6  and  12
months, and Dehaene et al. reported activation in motor speech
areas in response to sentences in 3-month-olds. Is activation of
Brocas area to the pure perception of speech present at birth?
Newborns  tested  by  Imada  et  al.   (2006)   showed  no  activation
in  motor  speech  areas  for  any  signals,  whereas  auditory  areas
responded   robustly   to   all   signals,   suggesting   the   possibility
that perception-action linkages for speech develop by 3 months
of age as infants begin to produce vowel-like sounds.
Using the tools of modern neuroscience, we can now ask how
the brain systems responsible for speech perception and speech
production forge links early in development, and whether these
same   brain   areas   are   involved  when   language   is   presented
socially,  but  not  when  language  is  presented  through  a  disem-
bodied source such as a television set.
Brain Rhythms, Cognitive Effects,
and Language Learning
MEG  studies   will   provide   an   opportunity   to   examine   brain
rhythms   associated   with   broader   cognitive   abilities   during
speech  learning.   Brain  oscillations  in  various  frequency  bands
have been associated with cognitive abilities. The induced brain
rhythms have  been linked to  attention and cognitive  effort, and
are of primary interest since MEGstudies with adults have shown
that   cognitive  effort   is  increased  when  processing  nonnative
speech  (Zhang  et   al.,   2005,   2009).   In  the  adult   MEG  studies,
participants  listened  to  their  native-  and  to  nonnative-language
sounds.   The   results   indicated   that   when   listening   to   native
language,   the  brains   activation  was   more  focal,   and  faster,
than   when   listening   to   nonnative-language   sounds   (Zhang
et al., 2005). In other words, there was greater neural efciency
for native as opposed to nonnative speech processing. Training
studies  show  that  adults  can  improve  nonnative  phonetic  per-
ception when training occurs under more social learning condi-
tions,   and  MEG  measures   before  and  after   training  indicate
that   neural   efciency   increases   after   training   (Zhang   et   al.,
2009). Similar patterns of neural inefciency occur as young chil-
dren learn words. Young childrens event-related brain potential
Figure 7.   Perception-Action Brain Systems Respond to Speech in Infancy
(A) Neuromagnetic signals were recorded in newborns, 6-month-old infants (shown), and 12-month-old infants in the MEGmachine while listening to speech and
nonspeech auditory signals.
(B) Brain activation in response to speech recorded in auditory (B, top row) and motor (B, bottom row) brain regions showed no activation in the motor speech
areas in the newborn in response to auditory speech but increasing activity that was temporally synchronized between the auditory and motor brain regions in 6-
and 12-month-old infants (from Imada et al., 2006).
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responses are more diffuse and become more focally lateralized
in the left hemispheres temporal regions as they develop (Con-
boy  et  al.,  2008a;  Durston  et  al.,  2002;  Mills  et  al.,  1993,  1997;
Tamm et al., 2002) and studies with young children with autism
show  this  same  pattern    more  diffuse  activation    when  com-
pared to typically developing children of the same age (Coffey-
Corina et al., 2008).
Brain  rhythms  may  be  reective  of  these  same  processes  in
infants   as   they   learn   language.   Brain   oscillations   in   four
frequency  bands  have  been  associated  with  cognitive  effects:
theta  (47  Hz),   alpha  (812  Hz),   beta  (1330  Hz)   and  gamma
(30100 Hz). Resting gamma has been related to early language
and cognitive skills in the rst three years (Benasich et al., 2008).
The induced theta rhythmhas been linked to attention and cogni-
tive effort, and will be of strong interest to  speech researchers.
Power  in  the  theta  band  increases  with  memory  load  in  adults
tested  in  either  verbal   or  nonverbal   tasks  (Gevins  et  al.,   1997;
Krause et al., 2000) and in 8-month-old infants tested in working
memory tasks (Bell and Wolfe, 2007). Examining brain rhythms in
infants  using  speech  stimuli   is  now  underway  using  EEG  with
high-risk infants (C.R. Percaccio et al., 2010, Native and nonna-
tive   speech-evoked   responses   in   high-risk   infant   siblings,
abstracts   of   the   International   Meeting   for   Autism  Research,
May  2010,   Philadelphia)   and  using  MEG  with  typically  devel-
oping  infants  (A.N.   Bosseler   et   al.,   2010,   Event-related  elds
and cortical rhythms to native and nonnative phonetic contrasts
in infants and adults, abstracts of the 17th International Confer-
ence  of   Biomagnetism),   as  they  listen  to  native  and  nonnative
speech.   Comparisons  between  native  and  nonnative  speech
may  allow  us  to  examine  whether  there  is  increased  cognitive
effort   associated  with  processing  nonnative  language,   across
age and populations. We are also testing whether language pre-
sented in a social environment affects brain rhythms in a way that
television and audiotape presentations do not. Neural efciency
is not observable with behavioral approachesand one promise
of brain rhythms is that they provide the opportunity to compare
the  higher-level   processes  that   likely  underlie  humans   neural
plasticity  for  language  early  in  development  in  typical   children
as  well   as  in  children  at  risk  for  autism  spectrum  disorder,  and
in  adults  learning  a  second  language.   These  kinds  of   studies
may reveal the cortical dynamics underlying the Critical Period
for language.
These results underscore the importance of a social interest in
speech early in development in both typical and atypical popula-
tions. An interest in motherese, the universal style with which
adults   address   infants   across   cultures   (Fernald   and   Simon,
1984;   Grieser   and  Kuhl,   1988)   provides  a  good  metric  of   the
value  of  a  social   interest  in  speech.  The  acoustic  stretching  in
motherese,  observed  across  languages,   makes  phonetic  units
more distinct from one another (Burnham et al., 2002; Englund,
2005;   Kuhl   et   al.,   1997;   Liu  et   al.,   2003,   2007).   Mothers  who
use   the   exaggerated   phonetic   patterns   to   a   greater   extent
when  talking  to  their   typically  developing  2-month-old  infants
have   infants   who   show  signicantly   better   performance   in
phonetic discrimination tasks when tested in the laboratory (Liu
et al., 2003). New data show that the potential benets of early
motherese extend to the age of 5 years (Liu et al., 2009). Recent
ERP  studies  indicate  that  infants  brain  responses  to  the  exag-
gerated  patterns  of motherese elicit  an enhanced  N250 as well
as  increased  neural   synchronization  at   frontal-central-parietal
sites (Zhang et al., personal communication).
It   is   also   noteworthy   that   children   with   Autism  Spectrum
Disorder (ASD) prefer to listen to non-speech rather than speech,
when given a choice, and this preference is strongly correlated
with  the  childrens  ERP  brain  responses  to  speech,  as  well   as
with the severity of their autistic  symptoms (Kuhl et al., 2005b).
Early   speech   measures   may   therefore   provide   an   early
biomarker of risk for ASD. Neuroscience studies in both typically
developing  and  children  with  ASD  that  examine  the  coherence
and  causality  of  interaction  between  social   and  linguistic  brain
systems  will   provide  valuable  new  theoretical   data  as  well   as
potentially  improving  the  early  diagnosis  and  treatment  of  chil-
dren with autism.
Neurobiological Foundations of Communicative
Learning
Humansarenot theonlyspeciesinwhichcommunicativelearning
is affected by social interaction (see Fitch et al., 2010, for review).
Young  zebra nches need visual interaction  with  a  tutor bird to
learn song in the laboratory (Eales, 1989). A zebra nch will over-
ride its innate preferencefor conspecicsongif aBengalese nch
foster father feeds it, even when adult zebra nch males can be
heard  nearby   (Immelmann,   1969).   More  recent   data  indicate
that male zebra nches vary their songs across social contexts;
songs   produced   when   singing   to   females   vary   from  those
produced in isolation, and females prefer these directed songs
(Woolley and Doupe, 2008). Moreover, gene expression in high-
level   auditory  areas  is  involved  in  this  kind  of   social   context
perception  (Woolley  and  Doupe,   2008).   White-crowned  spar-
rows, which reject the audiotaped songs of alien species, learn
the same alien songs when a live tutor sings them (Baptista and
Petrinovich,   1986).   In  barn  owls  (Brainard  and  Knudsen,   1998)
and  white-crowned  sparrows  (Baptista  and  Petrinovich,  1986),
a richer social environment extends the duration of the sensitive
periodfor learning. Social contextsalsoadvancesongproduction
in  birds;   male  cowbirds   respond  to  the  social   gestures   and
displays of females, which affect the rate, quality, and retention
of song elements in their repertoires (West and King, 1988), and
white-crowned  sparrow  tutors  provide  acoustic  feedback  that
affects the repertoires of young birds (Nelson and Marler, 1994).
Studies  of   the  brain  systems  linking  social   and  auditory-vocal
learning in humans and birds may signicantly advance theories
in the near future (Doupe and Kuhl, 2008).
Neural Underpinnings of Cognitive andSocial Inuences
on Language Learning
Our current model of neural commitment to language describes
a  signicant   role  for   cognitive  processes  such  as  attention  in
language  learning  (Kuhl   et  al.,   2008).   Studies  of   brain  rhythms
in  infants  and  other  neuroscience  research  in  the  next  decade
promise  to  reveal   the  intricate  relationships  between  language
and cognitive processes.
Language  evolved  to  address  a  need  for  social   communica-
tion  and  evolution  may  have  forged  a  link  between  language
and  the  social   brain  in  humans  (Adolphs,  2003;  Dunbar,  1998;
Kuhl,   2007;   Pulvermuller,   2005).   Social   interaction  appears  to
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be necessary for language learning in infants (Kuhl et al., 2003),
and an individual infants social behavior is linked to their ability
to  learn  new  language  material   (Conboy  et  al.,   2008a).  In  fact,
social   gating  may  explain  why  social   factors  play  a  far  more
signicant role than previously realized in human learning across
domains throughout our lifetimes (Meltzoff et al., 2009). If social
factors   gate   computational   learning,   as   proposed,   infants
would  be  protected  from  meaningless  calculations    learning
would be restricted to signals that derive fromlive humans rather
than  other  sources  (Doupe  and  Kuhl,  2008;  Evans  and  Marler,
1995;  Marler, 1991). Constraints  of this  kind  appear to  exist for
infant  imitation:  when  infants  hear  nonspeech  sounds  with  the
same  frequency  components  as  speech,   they  do  not   attempt
to imitate them (Kuhl et al., 1991).
Research  has  begun  to  appear   on  the  development   of   the
neural   networks  in  humans  that   constitute  the  social   brain
and  invoke  a  sense  of  relationship  between  the  self  and  other,
as well as on social understanding systems that link perception
and  action  (Hari  and Kujala,  2009).  Neuroscience  studies  using
speech and imaging techniques are beginning to examine links
between sensory and motor brain systems (Pulvermuller, 2005;
Rizzolatti and Craighero, 2004), and the fact that MEG has now
been demonstrated to be feasible for developmental studies of
speech  perception  in  infants  during  the  rst  year  of  life  (Imada
et   al.,   2006)   provides   exciting   opportunities.   MEG   studies
of   brain   activation   in   infants   during   social   versus   nonsocial
language experience will allowus to investigate cognitive effects
via   brain   rhythms   and   also   examine   whether   social   brain
networks are activated differentially under the two conditions.
Many  questions  remain  about   the  impact   of   cognitive  skills
and social interaction on natural speech and language learning.
As  reviewed,   new  data  show  the  extensive  interface  between
cognition and language and indicate that whether or not multiple
languages   are  experienced  in  infancy  affects   cognitive  brain
systems. The idea that social interaction is integral to language
learning has been raised previously for word learning; however,
previous   data   and   theorizing   have   not   tied   early   phonetic
learning to social factors. Doing so suggests a more fundamental
connection  between  the  motivation  to  learn  socially  and  the
mechanisms that enable language learning.
Understanding  how  language  learning,   cognition,   and  social
processing  interact  in  development  may  ultimately  explain  the
mechanisms underlying the critical period for language learning.
Furthermore, understanding the mechanism underlying the crit-
ical   period  may  help  us  develop  methods  that  more  effectively
teach second languages to adult learners. Neuroscience studies
over the next decade will lead the way on this theoretical work,
and  also  advance  our  understanding  of  the  practical   results  of
training  methods,  both  for  adults  learning  new  languages,  and
children  with developmental  disabilities struggling to learn their
rst   language.   These   advances   will   promote   the   science   of
learning  in  the  domain  of  language,   and  potentially,   shed  light
on human learning mechanisms more generally.
ACKNOWLEDGMENTS
The  author  and  research  reported  here  were  supported  by  a  grant  from  the
National Science Foundations Science of Learning Program to the University
of  Washington  LIFE  Center  (SBE-0354453),  and  by  grants  from  the  National
Institutes of Health (HD37954, HD55782, HD02274, DC04661).
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DP MODEL AND L2 ACQUISITION 
(ULLMAN) 
A Cognitive Neuroscience Perspective 
on Second Language Acquisition: 
The Declarative/Procedural Model 
MICHAEL  T.  ULLMAN 
KEY WORDS 
Aphasia c  basal  ganglia a Broca's  area a  critical period  declarative 
memory o ERP a estrogen  explicit  MRI  frontal lobe 3. 
grammar s implicit  language - language processing --  lexicon 
@  morphology  neuroimaging e  PET a procedural memory 
puberty  second language a second language acquisition (SLA) 
syntax a temporal lobe. 
I.  Introduction 
The neural,  cognitive,  and  computational  (i.e.,  neurocognitive)  bases  of 
second  language  acquisition  and  processing  are  still  not  well  understood. 
There has been surprisingly little empirical work in this area. Data informing 
the specific neural substrates of second language and the relations between its 
neural,  cognitive,  and  computational  underpinnings  have  been  especially 
sparse (e.g., what brain structures play which computational roles and how do 
they interact?). Given this lack of data, it is not surprising that there have been 
few attempts to offer integrative neurocognitive  theories of second language, 
particularly in the context of first language and of our broader understanding 
of the mind and brain. 
In  this  chapter,  I  discuss  a  neurocognitive  model  that  begins  to  address 
these theoretical gaps. According to this perspective, both first and second lan- 
guages  are  acquired  and  processed  by  well-studied  brain  systems  that  are 
known to subserve particular nonlanguage functions. These brain systems are 
posited  to play analogous roles in their nonlanguage  and language functions. 
So  our  independent  knowledge  of  the  cognitive,  computational,  neuroana- 
tomical, physiological, cellular, endocrine, and pharmacological bases of these 
systems leads to specific testable predictions  about both first and second lan- 
guage. The model  thus brings the knowledge base  and empirical approaches 
142  INTERNAL  FACTORS 
of cognitive neuroscience to bear on the study of second language acquisition 
(SLA). 
This  chapter  begins  by  discussing the  broader  linguistic  and  neurocog- 
nitive  issues,  along with  the  neurocognitive  model  as  it  pertains  to  normal 
early-learned  first  language (Ll). Next,  the  background,  theory,  and  extant 
empirical evidence regarding  the  acquisition  and  processing  of  second  and 
subsequent languages are presented, with  a focus on later-learned languages, 
particularly those learned after puberty.  (Note that the term L2 is used in this 
chapter to refer only to such later-learned languages.) Finally, the chapter con- 
cludes with comparisons between the model and other perspectives and with a 
discussion of implications and issues for further  study. 
2. The Neurocognition of Lexicon and Grammar 
Language  depends  upon  two  mental  abilities  (Chomsky,  1965; Pinker, 
1994). First, all idiosyncratic information must be memorized in some sort of 
mental  dictionary, which  is  often referred to as the mental lexicon. The lexi- 
con  necessarily  includes  all  words  with  arbitrary  sound-meaning  pairings, 
such as the noncompositional  ("simple") word  cat. It must also contain  other 
irregular-that  is,  not entirely derivable-word-specific  information,  such as 
whether any arguments must accompany a verb (e.g.,  hit requires a direct ob- 
ject)  and  whether  a word  takes  any  unpredictable  related  forms  (e.g.,  teach 
takes the irregular past tense taught). The mental lexicon may comprise other 
distinctive  information  as  well,  smaller  or  larger  than  words:  bound  mor- 
phemes (e.g.,  the -ed or  -ness suffixes, as  in  walked or happiness) and complex 
linguistic  structures  whose  meanings  cannot  be  transparently  derived from 
their  parts  (e.g.,  idiomatic  phrases,  such  as  kick  the  bucket)  (Di  Sciullo  and 
Williams,  1987; Halle and Marantz,  1993). 
But language also consists of regularities, which can be captured by rules of 
grammar.  The rules constrain  how  lexical forms combine  to  make  complex 
representations and allow us to interpret the meanings of complex forms even 
if we  have not heard or seen them before.  Meanings can be  derived by  rules 
that  underlie  the sequential orders and hierarchical relations of lexical items 
and of abstract categories such as  verbphrase. Such rule-governed behavior is 
found in various aspects of language, including phrases and sentences (syntax) 
and complex words such as  walkedor happiness (morphology). The rules are a 
form  of  mental  knowledge in  that  they  underlie  our  individual  capacity to 
produce and comprehend complex forms. The learning and use of this knowl- 
edge are generally implicit-that  is, not available to conscious awareness. Last, 
although  complex representations  (e.g., the  regular  past  tense form  walked) 
could be computed anew each time (e.g., walk + -ed), they could in principle 
also  be  stored in the mental lexicon. 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE 
I43 
Numerous  theories and empirical studies have probed  the neurocognitive 
bases of lexical and grammatical abilities in L1  (e.g., Damasio and Damasio, 
1992;  Elman  et  al.,  1996;  Friederici,  2002;  Gleason  and  Ratner,  1998; 
Goodglass, 1993; Pinker,  1994). This research has  addressed several interre- 
lated issues, including the following: (a) separability: Do lexicon and grammar 
depend  on distinct  components that  rely on separable neurocognitive corre- 
lates? (b) mechanisms:  What  mechanisms underlie  the  learning,  representa- 
tion, computation, and processing of the two linguistic capacities?  (c) domain 
specificity: Are  the  underlying  neurocognitive  substrates  dedicated  to  lan- 
guage (domain specific) or do they also subserve nonlanguage functions  (that 
is, are they domain independent)? (d) biological correlates: What are the bio- 
logical correlates of lexicon and grammar, be they brain structures, neural cir- 
cuits, or molecular systems? What is the temporal order of their involvement 
during processing and how do they interact? 
Here  I  focus  on  one  theoretical  perspective-the  declarative/procedural 
(DP) model  (Ullman, 2001a,  2001c; Ullman,  2004; Ullman  et al.,  1997)- 
which addresses these and related issues. The basic premise of the DP model is 
that aspects of the lexicon-grammar distinction  are tied to the distinction  be- 
tween  two  well-studied  brain  memory  systems  (Ullman,  200 1  c;  Ullman, 
2004),  declarative and  procedural  memory,  that  have  been  implicated  in 
nonlanguage functions in humans and other animals (Mishkin, Malamut, and 
Bachevalier, 1984; Schacter and Tulving,  1994; Squire and Knowlton, 2000; 
Squire and Zola,  1996). In the following two sections, I  first discuss the na- 
ture of the two memory systems and then  present the claims and predictions 
of the DP model as they pertain  to LI. 
3.  Declarative and Procedural Memory 
The declarative memory system underlies the learning,  representation,  and 
use  of  knowledge  about  facts  (semantic  knowledge)  and  events  (episodic 
knowledge) (Eichenbaum  and  Cohen,  2001; Mishkin  et al.,  1984; Schacter 
and Tulving,  1994; Squire and Knowlton, 2000). This system may be partic- 
ularly  important  for  learning  arbitrary  relations  (e.g.,  that  fact  that  Ouaga- 
dougou is the capital of Burkina Faso) (Eichenbaum and Cohen, 2001). The 
knowledge  learned  in  declarative  memory  is  at  least  partly  (but  not  com- 
pletely;  Chun, 2000) explicit, that  is,  available to  conscious awareness.  The 
memory system is subserved by medial temporal lobe regions (e.g., the hippo- 
campus),  which  are  connected  extensively with  temporal  and  parietal  neo- 
cortical regions  (Suzuki and Arnaral,  1994). The medial temporal  structures 
consolidate, and  possibly retrieve,  new  memories  (Eichenbaum  and  Cohen, 
2001; Mishkin  et al.,  1984; Schacter and Tulving,  1994; Squire and Knowl- 
ton,  2000).  Memories  seem  to  eventually  become  independent  of  these 
INTERNAL  FACTORS 
FIGURE  5.1.  Structures and regions of the brain: (A) A lateral view of 
anatomical structures i n the lefi hemispheres of the cerebrum and 
the cerebellum.  The same structures are found  on the right side. 
There are four  lobes i n each hemisphere of the cerebrum.  The 
frontal  lobe lies anterior to (in front  o j  the central sulcus, above 
the Lateral sulcus.  The temporal lobe lies inferior to (below) the 
lateral sulcus, going back  to the occipital lobe at the back of the 
brain.  The parietal  lobe lies posterior  to (behind)  the central 
sulcus and superior to (above) the temporal lobe.  (B) Brodmann ? 
areas of the lateral aspect of the lefi hemisphere.  The same 
areas are found  i n the right hemisphere. Not shown are the 
Brodmann? areas of the medial aspect of the cerebrum.  (C) A 
whole-head view of certain subcortical structures, including the 
basal ganglia.  In  each hemisphere, the basal ganglia  consist of 
several substructures, of which the caudate, putamen,  and 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE 
globw pallidus are indicated here.  (D) A  medial view of the 
cerebrum, including the hippocampw and variow structures to 
which it is closely connected. Figure 5. IA Jiom the public 
domain. Figure 5. IBJiom The human brain: Surface, 
three-dimensional sectional anatomy, and MRI  (p.  44), by 
Henri M. Duvernoy, New  York: Springer. Copyright 1991. 
Reprinted with permission.  Figure 5.1 CJiom  "Human 
diencephalon, " by Jacob L.  Drisen, http:// www.driesen.com/ 
bdsalgdnglia-2,jpg. Copyright ZOO5  by Jacob L.  Driesen, PhD. 
Reprinted with permission. Figure 5. ID Jiom Neuroscience (2nd 
ed.), 'Brain areas associated with declarative memory disorders," 
by Dale Purves,  GeorgeJ  Augustine, David Fitzpatrick, 
Lawrence C. Klztz, Anthony-Samuel LaMantia, James  0. 
McNamara, and S. Mark  Williams (Eds.). Sunderland, MA.: 
Sinauer Associates.  Copyright 2001. Reprinted with permission. 
1 4 ~   INTERNAL  FACTORS 
structures and dependent on neocortical regions, particularly in the temporal 
lobes (Hodges and Patterson,  1997; Martin, Ungerleider, and Haxby, 2000). 
Other  brain  structures  also  play  a  role  in  declarative memory.  Portions  of 
ventro-lateral  prefrontal  cortex  (corresponding  largely  to  Brodmann's  area 
[BA] 45 and BA  47) seem to play a role in the selection or retrieval of declara- 
tive memories, while parts of the right cerebellum may underlie searching for 
this knowledge (Buckner and Wheeler, 2001;  Desmond and Fiez,  1998; Ivry 
and  Fiez,  2000; Wagner  et  al.,  1998). Note  that  I  use  the  term  declrzrative 
memo y system to refer to the entire system involved in the learning and use of 
the relevant knowledge (Eichenbaum, 2000), not just  to those structures un- 
derlying memory consolidation. 
The declarative memory system has been intensively studied not only from 
functional and neuroanatomical perspectives but also at cellular and molecular 
levels (H. V. Curran, 2000; Lynch, 2002). The neurotransmitter  acetylcholine 
plays  a  particularly important  role  in  declarative memory  and  hippocampal 
function  (Freo,  Pizzolato,  Dam,  Ori,  and  Battistin,  2002;  Packard,  1998). 
(Neurotransmitters are  molecules  that  allow  communication  between  neu- 
rons.) Evidence also suggests that the declarative memory system is affected by 
estrogen (Phillips and Sherwin, 1992; Sherwin, 1988), perhaps via the modu- 
lation of acetylcholine (Packard, 1998; Shughrue, Scrimo, and Merchenthaler, 
2000). For example, estrogen improves declarative memory in women  (Maki 
and Resnick,  2000; Sherwin,  1998) and  men  (Kampen and  Sherwin,  1996; 
Miles, Green, Sanders, and Hines,  1998), and strengthens the cellular and mo- 
lecular  correlates of  long-term  hippocampal  learning  (McEwen, Alves,  Bul- 
loch,  and  Weiland,  1998;  Woolley  and  Schwartzkroin,  1998).  Moreover, 
testosterone, which is the main source of estrogen in men, also improves their 
memory (Cherrier et al., 2001). 
The procedural  memo y system is  implicated in the learning of new, and in 
the  control  of long-established, motor  and  cognitive skills and habits,  espe- 
cially those involving sequences (Aldridge and Berridge,  1998; Boecker et al., 
2002; Mishkin  et al.,  1984; Schacter and Tulving,  1994; Squire and Knowl- 
ton, 2000; Willingham,  1998). Neither the learning nor the remembering of 
these procedures appears to be accessible to conscious memory. Thus the sys- 
tem  is  often  referred  to  as  an  implicit memoy system. ( I   use  the term proce- 
dural memoy to  refer  only  to  one type  of  implicit,  nondeclarative memory 
system, Squire and Zola,  1996, not to all such systems; see also section 8 be- 
low.)  The system  is  composed  of  a  network  of  several interconnected  brain 
structures (De Renzi,  1989; Heilman, Watson, and Rothi,  1997; Hikosaka et 
al., 2000; Jenkins, Brooks, Nixon,  Frackowiak, and Passingham, 1994; Mish- 
kin et al.,  1984; Rizzolatti, Fogassi, and Gallese, 2000; Schacter and Tulving, 
1994; Squire and Zola,  1996). It depends especially on structures in the left 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE  I47 
hemisphere of the cerebrum (De Renzi,  1989; Heilman et al., 1997; Schluter, 
Krams,  Rushworth,  and  Passingham, 2001) and  is  rooted  in  neural  circuits 
that encompass the frontal lobes and the basal ganglia, which are subcortical 
structures that are strongly connected to frontal cortex. Evidence suggests that 
particular  neurotransmitters  of  these  circuits, especially dopamine,  underlie 
aspects of procedural learning (Harrington, Haaland, Yeo, and Marder,  1990; 
Nakahara,  Doya,  and Hikosaka,  2001; Saint-Cyr, Taylor,  and  Lang,  1988). 
Within  frontal  cortex, two  areas play  particularly important  roles:  premotor 
areas,  especially  the  region  of  the  supplementary  motor  area  (SMA  and 
pre-SMA); and Broca's area, especially posterior portions of this region, corre- 
sponding largely to  BA  44 (Broca's area  is  defined here  as  a part  of  inferior 
frontal cortex, including  and perhaps limited  to  cortex corresponding to BA 
44 and 45; Arnunts et a].,  1999). Other brain structures also form part of the 
procedural system network, including portions  of inferior parietal cortex and 
the cerebellum (Hikosaka et al.,  2000; Rizzolatti, Fogassi, and Gallese, 2001; 
Schacter and Tulving,  1994; Squire and Zola,  1996; Ullman,  2004; Willing- 
ham,  1998). Note that I use the term procedural memory system to refer to the 
entire  system involved in the learning and use  of motor  and cognitive skills, 
not just  to those brain structures underlying their acquisition. 
The declarative and  procedural  memory  systems interact  in  a number  of 
ways. Essentially, the systems together form a dynamically interacting network 
that yields  both  cooperative and  competitive  learning  and  processing,  such 
that memory functions may be optimized (Poldrack and Packard, 2003). First 
of all, the two systems can complement  each  other in acquiring the same or 
analogous  knowledge,  including  knowledge  of  sequences. As  was  initially 
shown in the amnesic patient H.M., the declarative memory system need not 
be  intact for the procedural memory system to learn (Corkin,  1984; Eichen- 
baum and Cohen, 2001; Squire and Knowlton, 2000). However, when both 
systems are functioning,  they can be  used  cooperatively to learn a given task 
(Willingham,  1998). The declarative memory system may be  expected to ac- 
quire knowledge initially, thanks to its rapid learning abilities, while the proce- 
dural system may gradually learn the same or analogous knowledge (Packard 
and  McGaugh,  1996; Poldrack  and  Packard, 2003). Interestingly, the  time 
course of this shift from declarative to procedural memory can be modulated 
pharmacologically (Packard, 1999). 
Second, animal and human studies suggest that the two systems also interact 
competitively (for reviews,  see  Packard  and  Knowlton,  2002;  Poldrack  and 
Packard, 2003; Ullman, 2004). This leads to a "see-saw effect" (Ullman, 2004), 
such that a dysfunction of one system results in enhanced learning in the other 
or that learning in one system depresses the functionality of the other (Halbig et 
al., 2002;  McDonald  and White,  1993; Mitchell  and  Hall,  1988; Packard, 
1 4 ~   INTERNAL  FACTORS 
Hirsh,  and White,  1989; Poldrack and Packard, 2003; Poldrack et al.,  2001; 
Poldrack, Prabhakaran, Seger, and Gabrieli,  1999; Schroeder, Wingard, and 
Packard, 2002; Ullman, 2004). The see-saw effect may be explained by a num- 
ber of factors (Ullman, 2004), including direct anatomical projections between 
the  two  systems  (Sorensen and  Witter,  1983) and  a  role  for  acetylcholine, 
which may not only enhance declarative memory but might also play an in- 
hibitory  role  in  brain  structures  underlying  procedural  memory  (Calabresi, 
Centonze, Gubellini, Marfia et al., 2000). Estrogen may also contribute to the 
see-saw effect, perhaps via the modulation of acetylcholine (Ullman, 2004). 
The two memory systems display variability in their functioning across in- 
dividuals. That is,  individuals differ in their ability to learn or use knowledge 
in one or the other system. Of particular interest here is that evidence suggests 
sex differences in the functionality  of the two  systems. Women show an ad- 
vantage  over  men  at  verbal  memory  tasks  (Halpern,  2000;  Kimura,  1999; 
Kramer,  Delis,  Kaplan,  O'Donnell,  and  Prifitera,  1997), which  depend  on 
declarative memory (Squire and Knowlton, 2000; Wagner et al.,  1998). This 
sex difference does not seem surprising in light of the higher levels of estrogen 
in girls and (premenopausal) women than in boys and men  (Cutler Jr.,  1997; 
K. Klein, Baron, Colli, McDonnell, and Cutler,  1994; Wilson, Foster, Kron- 
enberg, and Larsen,  1998). Conversely, evidence suggests that men show su- 
perior performance at a variety of tasks, such as  aimed throwing and mental 
rotation  (Kimura, 1999), which are expected to depend on the procedural sys- 
tem network (Ullman and Pierpont, 2005). Intriguingly, across the menstrual 
cycle in females, performance on some of these "male" tasks decreases with in- 
creasing  estrogen  and  increases with  decreasing estrogen  (Hampson,  1990; 
Kimura,  1999), strengthening the view  that  estrogen may play a role  in  the 
see-saw effect. 
4. The DP Model and L1 
According to the DP model, in L1 the declarative memory system underlies 
the mental lexicon, whereas the procedural memory system subserves aspects 
of the mental grammar. (For additional discussion, see Ullman, 2OOla, 2OOlc; 
Ullman, 2004; Ullman et al.,  1997). Each of the two memory systems is pos- 
ited  to play analogous roles in its nonlinguistic and linguistic functions.  De- 
clarative memory is  an associative memory  that stores not  only  information 
about facts and events but  also lexical knowledge, including  the sounds and 
meanings ofwords. Learning new words relies largely on medial temporal lobe 
structures. Eventually the knowledge ofwords becomes largely independent of 
the medial temporal lobe and depends upon  neocortical areas, particularly in 
temporal  and  temporo-parietal  regions.  Middle  and  inferior  aspects  of  the 
temporal  lobe  may  be  particularly  important  for  storing  word  meanings, 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE 
.  . 
whereas superior temporal and temporo-parietal regions may be more impor- 
tant in storing phonological word forms and possibly also for stored complex 
morphological and syntactic structures. These latter regions could thus serve as 
one type of interface between the declarative and procedural systems. Ventro- 
lateral prefrontal cortex underlies the retrieval or selection of lexical represen- 
tations stored in the temporal  brain regions, while portions  of the right cere- 
bellum  may  underlie  searching for  that  knowledge. Thus  these  frontal  and 
cerebellar structures may be less important in receptive than in expressive lan- 
guage.  Finally, pharmacological manipulations  of  acetylcholine, and  endo- 
crine manipulations of estrogen, should modulate aspects of lexical memory. 
The procedural system network  of brain  structures subserves the implicit 
learning and  use  not  only of motor  and cognitive skills but also aspects of a 
rule-governed  combinatorial  grammar.  The system is  expected to  play com- 
putationally analogous roles across grammatical subdomains,  including mor- 
phology, syntax,  and possibly phonology.  It  may be  especially important  in 
grammatical structure building-that  is, the sequential and hierarchical com- 
bination of stored lexical forms (e.g., walk + -ed) and abstract representations 
(e.g., verb phrase) into complex structures. Pharmacological manipulations of 
dopamine, and possibly the modulation of estrogen and acetylcholine, may be 
expected to affect the acquisition of gammatical  knowledge. 
The two  systems should  interact  both  cooperatively and competitively in 
the acquisition and use of language. For example, young children should ini- 
tially  learn  both  idiosyncratic  and  complex  forms  in  declarative memory, 
while  the  procedural  system  gradually acquires the  grammatical knowledge 
underlying  rule-governed combinations.  Increased  functionality  in  one  sys- 
tem  may depress the other and vice versa. Thus the improvements found  in 
declarative memory during childhood  (Di Giulio, Seidenberg, O'Leary,  and 
Raz,  1994; Kail and Hagen,  1977; Ornstein,  1978) should not only facilitate 
lexical acquisition but may also eventually depress the procedural learning of 
knowledge. 
Individual differences in the acquisition and use of lexical and grammatical 
knowledge, including sex differences, are expected. Thanks to their advantage 
at declarative memory, females should show superior lexical abilities as  com- 
pared to males. In contrast, males may demonstrate better performance at as- 
pects of grammar that depend on the procedural system. This difference in the 
functionality of the two systems also leads to the prediction  that females will 
tend to memorize complex forms (e.g.,  walked) that men generally compute 
compositionally  in  the  grammatical-procedural  system  (e.g.,  walk  +  -ed) 
(Ullman, 2004; Ullman  et al., 2002). 
Thus the DP model posits that lexical and grammatical functions are largely 
separable and are associated with distinct computational and neural substrates 
150  INTERNAL  FACTORS 
that are not dedicated to language but are rather domain independent. These 
substrates are well-studied brain memory systems, whose functionality may be 
modulated by particular pharmacological and endocrine substances and which 
vary  with  some  degree  of  predictability  across  the  lifespan  of  and  between 
individuals. 
This view contrasts with two competing theoretical frameworks. Although 
it shares the view of traditional "dual system" or "modular"  theories that lexi- 
con and grammar are subserved by  two or more distinct  systems (Chomsky, 
1995; Fodor,  1983; Grodzinsky,  2000;  Levelt,  1989; Pinker,  1994), it  di- 
verges  from  their  claims  that  domain-specific components  underlie  each  of 
the  capacities.  (For further discussion  of  the  issue of domain  specificity, see 
Ullman, 2004). Conversely, while the DP model agrees with  "single mecha- 
nism"  (e.g., connectionist)  theories that  the  two  capacities  are  subserved  by 
domain-independent mechanisms, it diverges from  their  claim that both ca- 
pacities are linked to a single computational  mechanism with broad anatomic 
distribution (Bates and MacWhinney,  1989; Elman et al.,  1996; MacDonald, 
Pearlmutter,  and  Seidenberg, 1994; Rumelhart  and  McClelland,  1986; Sei- 
denberg,  1997). 
The DP model alone predicts the following double dissociations: One set of 
links is expected among neurocognitive markers (e.g., neuroimaging activation 
patterns) of stored linguistic representations, conceptual-semantic knowledge, 
and  declarative memory  brain  structures. A  distinct  set  of  links  is  expected 
among  neurocognitive  markers  of  grammar  (across subdomains,  including 
morphology and syntax), motor and cognitive skills, and procedural memory 
brain  structures.  My colleagues and I  have previously argued in some depth 
that converging evidence from a wide range of psycholinguistic, developmen- 
tal, neurological, electrophysiological, and neuroimaging studies largely sup- 
ports this view (Ullman, 2001a, 2001c; Ullman, 2004; Ullman et al.,  1997). 
5. Late-Learned L2 
People who learn a language at later ages, particularly after puberty, do not 
generally acquire the language to the level of proficiency attained by younger 
learners (Birdsong  1999; Hyltenstam  and Abrahamsson, 2003; Johnson and 
Newport,  1989;  Newport,  1990;  Oyama,  1982).  However,  late  language 
learning does not seem to cause equal difficulties for lexical and grammatical 
functions.  In L1, studies of language-deprived children have shown that late 
-  - 
exposure to language results in an apparently irreversible inability to acquire 
aspects of grammar  (particularly in  morphology and syntax), whereas lexical 
acquisition remains relatively spared (S. Curtiss, 1989; S. R. Curtiss, 1977). In 
L2 the picture appears to be similar. A number of studies have shown that late 
L2  learning negatively affects the  acquisition  and/or processing of grammar 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE  151 
(Coppieters,  1987; DeKeyser,  2000;  Hahne  and  Friederici, 2001; Johnson 
and Newport,  1989; Newport,  1993; Oyama,  1982; Patkowski, 1980; War- 
tenburger  et  al.,  2003;  Weber-Fox  and  Neville,  1996), while  leaving  lexi- 
cal  accretion  (Eubank  and  Gregg,  1999)  and  lexical-conceptual  processing 
(Hahne  and  Friederici,  2001;  Wartenburger  et  al.,  2003;  Weber-Fox  and 
Neville, 1996) relatively intact. However, it does not appear to be the case that 
late learning necessarily precludes nativelike attainment, even of grammatical 
abilities.  Rather,  a number  of studies have suggested that such attainment  is 
not in fact all that rare, given sufficient exposure to the L2  (Birdsong, 1992; 
Birdsong and Molis, 2001; Cranshaw,  1997; Van Wuijtswinkel,  1994; White 
and Genesee,  1996). 
6. The DP Model and L2 
The DP model makes a somewhat different set of claims and predictions for 
late-learned L2 than for L1  (see also Ullman,  2001b; Ullman, 2004). At least 
during early adulthood (see below for a discussion of L2 learning later in the 
lifespan), the acquisition of grammatical-procedural knowledge is expected to 
be more problematic than the acquisition of lexical-declarative knowledge, as 
compared to language learning in young children. This may be due to one or 
more factors that directly or indirectly affect one or both brain systems, includ- 
ing decreased rule-abstraction abilities due to augmented working memory ca- 
pacity  (see Newport,  1993), the attenuation of procedural memory,  and the 
enhancement of declarative memory. Evidence from humans and animals sug- 
gests that motor skill learning associated with the procedural system is subject 
to  early  critical  period  effects  (Fredriksson, 2000;  Schlaug, 2001;  Walton, 
Lieberman, Llinas, Begin, and Llinas, 1992; Wolansky, Cabrera, Ibarra, Mon- 
giat,  and  Azcurra,  1999). In  contrast,  there  are  clear  improvements  in  de- 
clarative  memory  during  childhood, with  a  possible  plateau  in  adolescence 
(Campbell and  Spear,  1972; Di Giulio  et al.,  1994; Kail  and  Hagen,  1977; 
Meudell,  1983; Ornstein,  1978; Siegler,  1978). The changes in  both  proce- 
dural and declarative memory may be at least partly explained by the increasing 
levels of estrogen that occur during childhood/adolescence (in boys as well as 
girls, though  estrogen levels are higher  in  girls)  (Ankarberg and  Norjavaara, 
1999; Cherrier et al., 200 1; Cutler Jr.,  1997; K.  Klein et al.,  1994; Klein, Mar- 
tha, Blizzard, Herbst, and Rogol,  1996), since estrogen may somehow inhibit 
the procedural memory system as well as  enhance declarative memory (Cala- 
bresi, Centonze, Gubellini,  Pisani, and Bernardi, 2000; Packard,  1998; Phil- 
lips and Sherwin, 1992; Sherwin, 1988; Shughrue et al., 2000; Ullman, 2004) 
(also see discussion above). Additionally, the competitive interaction between 
the two memory systems, such that learning in one system depresses function- 
ality of the other, leads to the possibility that the improvements in declarative 
IFz  INTERNAL  FACTORS 
memory during childhood may be  accompanied by  an attenuation of proce- 
dural learning abilities. 
Thanks to  their  relative facility at declarative as  compared  to procedural 
learning, young  adult  L2  learners should tend to  rely heavily on  declarative 
memory, even for functions that depend upon the procedural system in L1. In 
particular,  L2  learners  should  tend  to  memorize  complex  linguistic  forms 
(e.g.,  walked)  that  can  be  computed  compositionally by  L1  speakers  (e.g., 
walk  + -ed). Associative properties of lexical memory  (Hartshorne and U11- 
man, in press;  Pinker,  1999; Prasada and Pinker,  1993) may lead to produc- 
tivity in L2. L2 learners can also learn rules in declarative memory  (e.g.,  in a 
pedagogical  context),  providing  an  additional  source  of  productivity.  Note 
that such rules do not depend  at all upon grammatical-procedural computa- 
tions;  indeed,  what  they  specify could  in  principle  differ  radically from  the 
grammatical-procedural rules of native speakers of the target language. 
Memorizing  complex forms and  rules in  declarative memory  may be  ex- 
pected to lead to a fairly high degree of proficiency, the level of which should 
vary according to a number of factors. These include the amount and type of L2 
exposure and individual subject differences regarding declarative memory abili- 
ties. Thus women's advantage at declarative memory should provide them with 
advantages at L2 learning. However, not all types of "grammatical" knowledge 
should be equally learnable in declarative memory. Certain complex forms will 
be  easier  to  memorize  than  others,  such  as  those  that  are  shorter  or  more 
frequent. Constructions that cannot be easily memorized, such as those that in- 
volve  long-distance dependencies, should  cause particular  difficulties. Simi- 
larly, not all declarative-memory based rules should be equally easy to learn or 
apply. The limitations  of lexical-declarative memory lead  to  the  expectation 
that this system alone is unlikely to provide full grammatical proficiency. That 
is, by itself this system is not predicted to supply all functions subserved by the 
grammatical-procedural  system  in  L1,  and  so  reliance  on  this  system  alone 
should not lead to nativelike proficiency in all aspects of !grammar. 
Crucially, however, the complete dysfunction of the grammatical system in 
L2 is notexpected. Rather, in accordance with multiple studies of the adult ac- 
quisition of nonlinguistic skills by procedural memory (Mishkin et al.,  1984; 
Schacter and Tulving,  1994; Squire and  Knowlton,  2000; Squire and  Zola, 
1996),  practice  should  lead  to  procedural  learning  and  improved  perfor- 
mance. Thus with sufficient experience with  L2,  the language is expected  to 
become L1-like in its grammatical dependence on the procedural system, with 
the potential for a high degree of proficiency. Whether or not a given individ- 
ual  acquires a given  set of grammatical knowledge in the procedural system 
will  depend  on  factors  such  as  the  type  of  grammatical  knowledge  being 
learned, the nature of the L2 exposure, and characteristics of the learner, such 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE 
I53 
as intrinsic procedural learning abilities. Thus, whereas women should tend to 
show a faster learning rate than men during early stages of L2 learning (due to 
females' superior declarative memory abilities), men may show an advantage 
in later stages (due to a,possible male advantage at procedural memory). 
The claims  and  predictions  laid  out above  for young  adults  differ  some- 
what  for  older  adults.  The  ability  to  learn  new  information  in  declarative 
memory begins to decline in early adulthood, with more notable losses in old 
age (Park et al., 2002; Prull, Gabrieli, and Bunge, 2000). This pattern  may be 
at  least partly  explained by  the  fact  that  estrogen levels decline with  age  in 
both  sexes,  especially  during  later years  and  especially  in  women  (i.e.,  post- 
menopausal declines)  (Carlson and  Sherwin, 2000;  Carr,  1998; Ferrini  and 
Barrett-Connor,  1998; Sherman, West,  and  Korenman,  1976). To compli- 
cate matters further, while some forms of procedural learning are spared with 
aging, others, such as the learning of sequences containing higher level struc- 
ture,  appear  to  decline  gradually across  the  adult  years  (Churchill,  Stanis, 
Press,  Kushelev, and  Greenough,  2003; T. Curran,  1997; Feeney,  Howard, 
and  Howard,  2002;  Howard,  Howard,  Dennis,  Yankovich,  and  Vaidya, 
2004; Prull et al., 2000). Therefore older adults may have more difficulty than 
young adults with procedural as well as declarative aspects of L2 acquisition. 
Thus the age-of-exposure effects in L2 acquisition that are predicted to oc- 
cur across childhood and adolescence differ qualitatively from those expected 
to take place during adulthood. Whereas in the former case the decline in lan- 
guage-learning ability is  predicted  from  a decreasing  reliance  on  procedural 
memory relative to declarative memory, in the latter case the decline follows 
primarily from problems with declarative memory, which  may be  further ag- 
gravated by difficulties with procedural memory. Thus age-of-exposure effects 
in  language  learning  may  be  explained by  more  than  one  mechanism, with 
different mechanisms at play during different periods of the lifespan. 
In sum, at lower levels of L2 experience, declarative memory is posited to 
subserve the learning and use not only of idiosyncratic lexical knowledge but 
also  of  complex linguistic  representations.  During  early adulthood,  women 
should show an advantage at L2 acquisition as compared to men. Due to the at- 
tenuation  of  declarative  memory,  older  learners  (especially postmenopausal 
women)  should have particular difficulty acquiring an L2  even to low profi- 
ciency. At higher levels of L2 experience, the procedural system should be able 
to acquire  knowledge (although again, this may be more difficult 
for older L2 learners), resulting in a neurocognitive pattern similar to that of 
L1-that  is, with idiosyncratic lexical knowledge stored in declarative  memory, 
while rule-governed complex forms are composed by the procedural system. 
So dissociations between  simple and complex forms are expected in high- 
experience L2 and in LI but less so or not at all in low-experience L2. In direct 
I54  INTERNAL  FACTORS 
comparisons between  L1  and  L2  within subjects, the  use  of  complex forms 
should  depend  more  on declarative memory  brain  structures  in  low-experi- 
ence L2  than  in  L1  or  high-experience L2,  in which  complex forms should 
show a greater dependence  on procedural memory  brain  structures.  In con- 
trast, idiosyncratic lexical knowledge should be stored in declarative memory 
in all individuals, and therefore no lexical dissociations between L1 and either 
low- or high-experience L2 are expected. 
7. Empirical Evidence on the Neurocognition of L2 
Here  I  present  several  lines  of  neurocognitive evidence which  speak to  a 
number of the L2-related claims and predictions of the DP model. For further 
discussion on some of these data, see Ullman  (2001b). 
Aphdsia generally refers to language impairments that result from relatively 
circumscribed lesions to the brain.  In  L1,  adult-onset  damage to neocortical 
temporal  regions  often  leads  to  impaired  lexical  abilities, while  the  use  of 
grammatically appropriate  complex structures  remains  relatively  spared.  In 
contrast,  frontal  and  basal  ganglia  lesions  often  produce  impaired  perfor- 
mance at grammar (across linguistic domains, including syntax and morphol- 
ogy),  leaving  lexical  knowledge  largely  intact  (Goodglass,  1993;  Ullman, 
2004; Ullman  et al.,  1997; Ullman  et al., 2005). 
Brain damage in L2 speakers yields a different pattern. First of all, relatively 
circumscribed temporal  lobe damage can lead  to worse  grammatical perfor- 
mance in L2 than in L1 (Ku, Lachmann, and Nagler,  1996; Ullman, 2001b). 
More  importantly, left  basal  ganglia and  left  frontal  lobe  lesions have  been 
shown to produce greater grammatical impairments in L1 than L2, as well as 
in the more proficient L2 as compared to the less proficient L2 (Fabbro, 1999; 
Fabbro and Paradis, 1995; Ullman, 2001b). This pattern is particularly strik- 
ing because the damage leads to  more  severe problems in  the earlier learned 
and  the  more  proficiently spoken  languages.  However,  left  frontal  or  basal 
!ganglia damage does not appear to lead  to differences in  lexical performance 
between  LI  and  L2  or  between  high-  and  low-proficiency L2s,  even  in  the 
same patients who show worse grammatical performance in L1 than L2 or in 
the  more  proficient  L2  (Fabbro,  1999; Fabbro  and  Paradis,  1995; Ullman, 
2001b).  Thus frontal and basal ganglia damage appears to be  at least some- 
what selective, resulting in particular impairments of grammar in L1 and pro- 
ficient L2. 
Positron  emission tomography  (PET) and functional  magnetic resonance 
imaging (fMRI) measure changes in  blood  flow or oxygenation levels  in the 
brain.  Since these changes are related  to changes in neural activity, the tech- 
niques provide an indirect method for pinpointing the brain structures that are 
active during specific cognitive tasks. The representation and/or processing of 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE 
IT5 
both  lexical  knowledge in  L1  and  nonlinguistic  conceptual-semantic  infor- 
mation  (i.e., knowledge about the world around  us)  is  strongly linked to ac- 
tivation  in  temporal  and  temporo-parietal  regions  (Damasio,  Grabowski, 
Tranel,  Hichwa,  and  Damasio,  1996; Martin  et  al.,  2000;  Newman,  Pan- 
cheva, Ozawa, Neville,  and Ullman,  2001; Ullman,  2004). The selection or 
retrieval  of  this  knowledge reliably leads  to  activation in  ventro-lateral pre- 
frontal  cortex, especially  in  BA  45  and  BA  47  (Buckner, 2000;  Fiez,  1997; 
Poldrack, Wagner  et  al.,  1999; Thompson-Schill,  D'Esposito,  Aguirre, and 
Farah,  1997). A wide range of tasks designed to probe syntactic processing in 
both receptive and expressive language have elicited preferential activation in 
Broca's  area, especially in the region  of BA  44  (Caplan, Alpert, and Waters, 
1998;  Embick,  Marantz,  Miyashita,  O'Neil,  and  Sakai,  2000;  Friederici, 
2002; Friederici, 2004; Indefrey, Hagoort,  Herzog, Seitz, and Brown, 2001; 
Moro et al., 2001; Ni et al., 2000; Stromswold, Caplan, Alpert, and Rauch, 
1996). 
In later-learned second languages, tasks that involve only lexical-conceptual 
processing have been found not to yield more activation in L2 than L1 (Chee, 
Tan, and  Thiel,  1999; Illes  et  al.,  1999; Klein,  Milner,  Zatorre,  Zhao,  and 
Nikelski,  1999; Pillai et al., 2003), suggesting a common neurocognitive ba- 
sis.  Such tasks  have also  elicited greater activation in  L2  than  L1  in  regions 
that may reflect the greater demands of the less-well learned L2 on articulation 
(putamen: Klein, Milner,  Zatorre,  Meyer, and Evans,  1995; Klein, Zatorre, 
Milner,  Meyer, and Evans,  1994), on working memory  (left superior BA  44 
and SMA: Chee, Hon, Lee, and Soon, 2001), or on lexical retrieval and selec- 
tion  (left BA  45 and BA  47:  Chee et al., 2001; De Bleser et al., 2003). 
Tasks that  are expected  to involve grammatical processing  (e.g.,  sentence 
comprehension) have generally elicited different activation patterns in L2 and 
L1, in particular in temporal lobe regions, suggesting a greater dependence on 
these structures in L2 than in L1. Perani et al. (1996) found greater activation 
in  L2  than  L1  only  in  the  parahippocampal  gyrus,  bilaterally.  Similarly, in 
Perani  et  al.  (1998), the  only  areas  of  activation that were  found  in  L2  (as 
compared to baseline) and not in L1 were in the parahippocampal gyrus (bi- 
laterally) and the left middle temporal gyrus. Dehaene et al. (1997) observed 
greater  activation  in  L2  than  in  L1  in  several  right  hemisphere  temporal 
neocortical regions, in the left middle temporal  gyrus, and in frontal  regions 
implicated  in  the retrieval  of declarative memories  (see above; Buckner  and 
Wheeler,  2001;  Ullman,  2004).  Note  that  although  Kim,  Relkin,  Lee,  and 
Hirsch  (1997) did not discuss temporal lobe activation differences, the paper 
reported no data outside left posterior superior temporal cortex. Even early L2 
learners have shown a pattern  of greater temporal  lobe involvement in L2 as 
compared  to  L1  (e.g,  parahippocampal  cortex  activation  in  Perani  et  al., 
156  INTERNAL  FACTORS 
1998). However, as  would  be  expected  if early-acquired L2  relies  on similar 
neurocognitive correlates as L1, some studies have found no activation differ- 
ences  at  all  between  L1  and  very  early-acquired  L2  (Chee  et  al.,  1999; 
Wartenburger et al., 2003). Finally, other than the frontal regions associated 
with retrieval found by Dehaene et al. (1997),  greater frontal lobe activation 
in L2 than L1 has generally not been observed (Chee et al.,  1999; Kim et al., 
1997; Perani et al.,  1996; Perani et al.,  1998, in neither experiment; Warten- 
burger  et  al.,  2003, who  observed greater frontal  activation in  late-  but  not 
early-acquired L2, as  compared to L1,  in a grarnmati~alit~  judgment  task). 
Intriguingly, a recent fMRI study examining the adult acquisition of an ar- 
tificial language found that early on during learning, syntactic processing in- 
volved the left hippocampus  and neocortical temporal  regions, including the 
left middle temporal gyrus (Opitz and Friederici, 2003). However, activation 
in  these  brain  structures  decreased across  the experiment  (i.e.,  as  experience 
and proficiency increased), while activation increased in BA 44 within Broca's 
area. This finding directly supports the DP model's  prediction  of a shift from 
the declarative to the procedural system during late L2 learning. 
Event-related potentials (ERPs) are scalp-recorded electrical potentials that 
reflect  the  real-time electrophysiological brain  activity of cognitive processes 
that are time locked to the presentation of target stimuli, such as words. Lexi- 
cal  processing  in  L1  and  nonlinguistic  conceptual  processing  elicit  central- 
posterior bilateral negativities (N400s) that peak about 400 milliseconds after 
the presentation of the stimulus (Barrett and Rugg, 1990; Kutas and Hillyard, 
1980). The N400 component depends at least in part on temporal lobe struc- 
tures  (McCarthy,  Nobre,  Bentin,  and  Spencer,  1995; Nobre,  Allison,  and 
McCarthy,  1994; Simos, Basile,  and Papanicolaou,  1997) and has been pos- 
ited to involve the declarative memory system (Ullman, 2001b, 2001~).   Lexi- 
cal stimuli that elicit N400 components in L1 also consistently elicit them in 
L2,  in  both  low-  and  high-proficiency speakers  (Hahne, 2001;  Hahne and 
Friederici, 2001;  McLaughlin,  Osterhout,  and  Kim,  2004; Weber-Fox  and 
Neville,  1996),  strengthening  the  view  that  lexical-declarative  memory  is 
largely available to L2 learners. 
In L1, tasks involving the processing of grammatical violations often yield 
left anterior negativities (LANs) (Friederici, Pfeifer, and Hahne,  1993; Neville, 
Nicol, Barss, Forster, and Garrett, 1991). LANs have been linked to left frontal 
cortex and to automatic gammatical processing (Friederici, 2002; Friederici, 
Hahne, and Mecklinger, 1996; Friederici, Hahne, and von Cramon, 1998). It 
has been ~osi t ed  that LANs reflect processing by the grammatical-procedural 
system (Ullman, 2001  b, 2001~).   In lower proficiency L2, LANs are not found, 
even when the same violation elicits a LAN  in L1 (Hahne, 200 1  ; Hahne and 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE  IY7 
Friederici, 2001; Weber-Fox and Neville,  1996). Instead of LANs, either no 
negativities are observed (Hahne, 2001; Hahne and Friederici, 2001), or sub- 
jects  show more posterior negativities that resemble N400s more than LANs 
(Ullman, 200 1  b; Weber-Fox and Neville,  1996). N400s have also been found 
in  very  low-proficiency L2  learners for  grammatical  anomalies that  do not 
elicit  a  LAN  (or an  N400)  in  L1  (Osterhout  and  McLaughlin,  2000). To- 
gether, these findings suggest that grammatical processing in lower proficiency 
L2 is subserved by brain structures that are at least partially distinct from those 
subserving grammar in L1 and that overlap, in at least some cases, with those 
subserving lexical-conceptual processing. 
In contrast,  an ERP study of adults acquiring an artificial language found 
that grammatical violations elicited a LAN in highly proficient learners (Fried- 
erici,  Steinhauer,  and  Pfeifer, 2002), as would  be  expected after procedural- 
ization of grammatical knowledge. Similarly, it appears that the only LAN that 
has been found in a natural language learned as an L2 was elicited by subjects 
who were proficient in the L2 (Hahne, Muller, and Clahsen, 2003). 
Finally,  it  is  interesting  to  note  that  the  late positive P6OO  ERP compo- 
nent, which is  linked to controlled  (that is,  not automatic) late syntactic pro- 
cessing  in  L1  (Friederici  et  al.,  1996)  and  is  not  posited  to  depend  on 
procedural processing (Ullman, 2001  b, 2001c), is (unlike the LAN) generally 
displayed  by  L2  speakers (Hahne, 2001;  Osterhout  and McLaughlin,  2000; 
Weber-Fox and Neville,  1996). Its absence in one experiment has been attrib- 
uted to floor effects, due to higher amplitude positivities in the correct condi- 
tion in L2  (Hahne and Friederici, 2001). 
8. Discussion 
In summary, the DP model posits that in the late acquisition of second or 
subsequent languages, learning grammar in procedural memory is more prob- 
lematic than learning lexical or other linguistic knowledge in declarative mem- 
ory, as compared to L1 acquisition. Thus adult second language learners rely 
particularly heavily on declarative memory, depending on this system not only 
for storing idiosyncratic lexical knowledge, but also for memorizing complex 
forms and "rules." However, with sufficient experience with the language, the 
procedural system should be able to acquire much or perhaps even all of the 
grammatical knowledge that it subserves in L1. Differences in L2 acquisition 
abilities are expected across the adult years and between  individuals; because 
learning  in  declarative memory  and  possibly  procedural  memory  becomes 
more problematic with aging during adulthood, particularly in later years, one 
should  find  increasing  problems  with  L2  acquisition  during  this  period. 
Women should  tend to be  faster than men  at L2  acquisition, at least during 
158  INTERNAL  FACTORS 
initial learning  stages, thanks  to  their  advantages  at declarative memory,  al- 
though such advantages may be eliminated following menopause. Estrogen is 
expected to play an important role in a number of these effects. 
Existing behavioral  evidence,  as  well  as  neurocognitive  data  from  brain- 
damaged  patients,  neuroimaging,  and  event-related  potentials,  largely sup- 
ports this perspective. However, many gaps in the data remain. For example, 
neurocognitive experiments have not probed  the relation between  L2  and ei- 
ther  sex  differences  or  the  underlying  hormonal  status  and  have  ignored 
changes in L2 acquisition abilities later in the lifespan. Moreover, it is impor- 
tant to point out that not all evidence appears to be consistent with the predic- 
tions of the DP model. Corpora studies and some research examining highly 
proficient  L2  learners suggest that  late  L2  acquisition  may  impact  irregular 
inflected forms and idiosyncratic language features as much  as  or more than 
regular  inflected forms and  abstract gammatical  structure (Birdsong,  1992; 
Birdsong and Flege,  2001;  Flege, Yeni-Komshian, and  Liu,  1999; Gass and 
Selinker, 1994). Moreover, whereas a number of studies suggest an L2 perfor- 
mance advantage of females over males, in measures of general language profi- 
ciency  (Boyle,  1987; Wen  and  Johnson,  1997), vocabulary memorization 
(Gardner and  Lambert,  1972; Nyikos,  1990), and  reading  (Chavez, 2001), 
other investigations have found no sex differences in listening comprehension 
(Bacon,  1992), in  reading  comprehension  (Phakiti,  2003),  and  in  overall 
measures of achievement (Spurling and Ilyin, 1985). Still others have reported 
an advantage for males in certain vocabulary measures (Boyle, 1987; Scarcella 
and Zimmerman, 1998) and in reading (Biigel and Buunk,  1996). For further 
discussion on sex differences in SLA, see Bowden, Sanz, and Stafford (this vol- 
ume, chapter 4). 
These empirical gaps and inconsistencies indicate the need for further stud- 
ies, in particular for ones that are specifically designed to directly test and po- 
tentially falsify the  L2-related predictions  of  the  DP model.  Crucially, these 
must probe not only performance but also a range of measures of the neuro- 
cognitive correlates of the learning and use of L2. Such studies should control 
for a variety of item, task, and subject factors that are posited to play impor- 
tant roles in the DP model, such as the idiosyncracy versus regularity of items 
and  the  sex,  age  of  acquisition,  years  of  exposure, and  hormonal  status  of 
subjects. 
The DP  perspective  can  be  directly compared  to  and  contrasted  with  a 
number of previous SLA hypotheses. Moreover, it leads to a number of issues 
for further discussion, has  several implications, and suggests a range of ques- 
tions for further investigation. 
First, it is important to emphasize that the model's  claims and predictions 
regarding  L2  are  largely motivated  by  our  independent knowledge of  other 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE 
I59 
areas of study, in particular of Ll  and cognitive neuroscience, broadly defined. 
Our understanding of these areas, including the cognitive, computational, an- 
atomical, physiological, cellular, and molecular bases of the two brain systems 
lead  to a wide array of testable predictions.  This offers  far greater predictive 
power than hypotheses whose motivations and claims are largely restricted to 
language itself. Moreover, the two brain systems can be examined with a range 
of reliable techniques that are widely used  in cognitive neuroscience, comple- 
menting and greatly strengthening those methods that have traditionally been 
employed in the study of SLA. Together, the theoretical and empirical advan- 
tages of the perspective presented in this chapter provide the potential to make 
substantial  and  rapid  advances in  our  understanding  of  L2  acquisition  and 
processing. 
Second, the  DP model  offers  a  novel  explanatory framework for  age-of- 
exposure effects-that  is, for the greater difficulty in learning languages during 
later  years.  The model  explains  these  effects largely  in  terms  of  biologically 
based mechanisms that affect one or both memory systems and that vary both 
with age and across individuals. Importantly, distinct sets of changes are posited 
to occur prior to and during adulthood, although in both cases the two memory 
systems are affected, at least in part, as a consequence of modulation by the en- 
docrine system. This testable  neurocognitive perspective differs substantially 
from previous explanations for age-of-exposure effects (Birdsong, 1999), such 
as  the  loss  of  language-specific  learning  mechanisms  (Bley-Vroman,  1990; 
Pinker, 1994) and earlier learned languages interfering with L2 learning (Mac- 
Whinney, 1987; Rohde and Plaut, 1999). 
Third, the model's  claims that L2  learners can ultimately become L1-like 
in  their  proficiency,  as well  as  in  their  underlying neurocognitive correlates, 
contradicts  the  strong form  of  the  critical period  hypothesis, which  denies 
both  of these  assertions  (Bley-Vroman, 1990; Clahsen and Muysken,  1986; 
Hyltenstam  and Abrahamsson, 2003; Johnson  and  Newport,  1989; Meisel, 
1991). Importantly,  the  prediction  of  L1-like  ultimate  attainment  in  both 
performance and neurocognition  is clearly testable using a number of well es- 
tablished methods. 
Fourth,  the model strongly emphasizes variation  in L2  learning aptitude, 
both within  and across individuals. Within  individuals, L2  acquisition abili- 
ties are expected to vary not only over the lifespan but even across shorter peri- 
ods.  Thus daily as well  as  seasonal fluctuations  in  the level  of sex hormones 
(Kimura, 1999) should affect L2 learning and use. Differences across individ- 
uals should vary both between groups (e.g., males vs. females) and between in- 
dividuals within  a  group,  as  a  consequence  of  individual  variation  in  the 
population  in factors such as hormone levels. These claims allow one to make 
specific  predictions  regarding  the  rapidity  and  ultimate  attainment  of  L2 
160  INTERNAL  FACTORS 
acquisition. Such predictions  may be  made  not  only on the  basis  of general 
patterns  regarding how  the  memory  systems differ  over  time  and  between 
groups but also on the basis of neurocognitive and performance measures of 
the two memory systems and their biological correlates (e.g., sex hormone lev- 
els) in individual subjects. Moreover, this knowledge of group and individual 
subject characteristics should allow one to make distinct  testable  predictions 
for declarative and procedural aspects of L2 acquisition. For example, whereas 
young women  may tend to show more rapid learning than men during early 
stages of L2 learning, as well as  higher eventual levels of idiosyncratic lexical 
knowledge, young men might be  more likely to reach L1-like levels of gram- 
matical proficiency. 
Fifth, because the functional and biological characteristics of the two mem- 
- 
ory systems are reasonably well understood, one should be able to predict how 
to manipulate them in order to improve the rate and ultimate proficiency lev- 
els of L2  learning. For example, one should be  able to exploit the functional 
characteristics of declarative memory,  such as promoting learning in rich se- 
mantic  contexts  (Schacter and  Tulving,  1994). The DP  model  also  under- 
scores  the  view  that  nativelike attainment  may  be  achieved  only  through 
extensive practice (i.e., experience). The amount and type of experience that 
may be  necessary to achieve this, and how experience relates to other factors, 
such as  individual subject learning characteristics, remain  to  be  determined. 
However, one should be able to optimize L2 acquisition by scheduling learn- 
ing to  take  advantage of  natural  fluctuations  in  the  endocrine  system  (e.g., 
daily, monthly, seasonal). The model also suggests a potential  role for phar- 
macological agents in SLA. Cholinergic interventions, which can enhance de- 
clarative memory (Freo et al., 2002; Packard,  1998), may facilitate the initial 
stages of learning posited to depend  on this system. Dopaminergic  interven- 
tions, which under certain circumstances can enhance the ~rocedural  system 
(Gerfen,  1995; Jankovic and  Tolosa,  1993), might  be  helpful in promoting 
the  acquisition  of  grammatical rules  by  this  system.  Moreover,  as  discussed 
above, the time course of the shift from declarative to procedural memory can 
also  be  modulated  pharmacologically  (Packard,  1999).  Further  research  is 
clearly needed to investigate these issues. 
Sixth, the model may contribute to our understanding of the much-studied 
distinction  between explicit and implicit knowledge in SLA (Bialystok, 1978, 
1979; DeKeyser,  2003;  N.  C.  Ellis,  1994, 2002;  Krashen,  1985; Krashen, 
Scarcella, and Long,  1982; Norris and Ortega, 2001). At first blush, this dis- 
tinction may seem to correspond quite closely to the declarative-procedural  dis- 
tinction proposed by the DP model, given that declarative memory has been 
claimed to underlie explicit knowledge while procedural memory subsewes im- 
plicit knowledge. However, there are a number of critical differences. First of 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE  161 
all, the DP model is based on claims about neurocognitive systems, whereas the 
explicit-implicit distinction is premised on claims about awareness. This latter 
distinction  is somewhat problematic in that awareness is difficult not only to 
define but also to test (DeKeyser, 2003; Doughty, 2003; Schmidt, 1994). In 
contrast, the distinction  between the declarative and procedural brain systems 
is  relatively clear, and the dichotomy can be  tested with a variety of method- 
ological approaches. 
It is  also  important  to  note  that the mapping between  declarative-proce- 
dural memory on the one hand, and explicit-implicit knowledge on the other, 
is  by  no  means  isomorphic  (one-to-one).  Information  stored  in  declarative 
memory may very well be explicit (accessible to conscious awareness in some 
sense), but there is no requirement that it must be, and recent data suggest that 
at least certain kinds of knowledge acquired by the declarative memory system 
are not explicit (Chun and Phelps, 1999; Chun, 2000). Additionally, evidence 
suggests the existence of more than one nondeclarative implicit memory sys- 
tem (Eichenbaum and Cohen, 200 1  ; Squire and Knowlton,  1995). Procedural 
memory, as  it is defined in the DP model and by many memory researchers, 
refers  only to one type  of nondeclarative memory  system  (Eichenbaum  and 
Cohen,  2001;  Squire and  Knowlton,  1995; Ullman,  2001~;   Ullman,  2004; 
Ullman and Pierpont, 2005). Unfortunately,  the term procedural memo y has 
sometimes been used interchangeably with  implicit memoy, resulting in quite 
a confusing situation (Eichenbaum and Cohen, 2001; Schacter and Tulving, 
1994). Finally, most previous treatments  of explicit-implicit memory in SLA 
have not focused on, or  even  clearly acknowledged, the  distinction  between 
lexicon and grammar (Bialystok, 1978; N. C. Ellis, 2002; Gass, 1997; Krashen 
et  al.,  1982). In  sum, it is  difficult to  draw simple parallels between  the  ex- 
plicit-implicit and declarative-procedural distinctions. Nevertheless, the clear 
and testable dichotomy between  declarative and procedural memory and the 
examination  of how these two  brain  systems relate  to  lexicon and grammar, 
across different periods of the lifespan and across individuals, may encourage 
SLA researchers to consider how these factors relate to the constructs of explicit 
and implicit knowledge. 
Seventh, the  DP model can be  directly compared  to and contrasted with 
other neurocognitive perspectives of SLA. The model is perhaps most similar 
to the view espoused by Friederici and her colleagues on the basis of their fMRI 
and  ERP  data.  They  have  concluded  that  low-proficiency L2  learners  do 
not have the neurocognitive abilities of native speakers for automatic parsing 
and  syntactic structure  building  in  sentence  comprehension,  which  are  as- 
sumed  to depend  on BA  44 and certain other structures in  L1  (Friederici et 
al., 2002;  Hahne,  2001;  Hahne and  Friederici, 2001;  Opitz and  Friederici, 
2003). Instead, low-proficiency learners initially depend on medial and lateral 
162  INTERNAL  FACTORS 
temporal  lobe structures,  and  possibly on strategy-dependent  compensatory 
right-hemisphere processes (Hahne and Friederici, 2001; Opitz and Friederici, 
2003).  However, as  L2  proficiency increases (with  experience with  the lan- 
guage), medial and lateral temporal lobe involvement decreases, while BA 44 
involvement increases (Opitz and Friederici, 2003). In contrast,  conceptual- 
semantic integration  seems to  remain  largely  L1-like  in  L2  learners (Hahne 
and Friederici, 2001). Friederici's  data and conclusions are thus highly com- 
patible with the DP model. The two views seem to diverge in a number of the 
details (e.g., the role of the basal ganglia) and in that Friederici's perspective is 
primarily driven by data from L2 studies, whereas the DP model's claims and 
predictions follow largely from our independent knowledge of the two mem- 
ory systems. 
The DP  model  can  also  be  directly compared  to  the  view  embraced  by 
Paradis. He has proposed a model that links SLA notions of explicit and im- 
plicit  knowledge  to  specific  neural  structures  (Paradis,  1994,  1995,  1997, 
1999,2004). Like the DP model, Paradis emphasizes a greater dependence on 
declarative than procedural memory in L2 as compared to L1 and in low-pro- 
ficiency  L2  as  compared  to  high-proficiency  L2.  However,  unlike  the  DP 
model,  Paradis  seems  to  assume  a  direct  correspondence  between  explicit 
knowledge and declarative memory and between implicit knowledge and pro- 
cedural  memory  (Paradis,  1994, 2004). Moreover,  Paradis  discusses  the  in- 
creased  reliance  on  procedural  memory  (in  L1  and  high-proficiency  L2) 
largely in terms of geater automatization  and implicitness across various do- 
mains of language, including at least portions of the lexicon. For Paradis, only 
consciously accessible lexical elements are declarative, in both L1 and L2. This 
seems to correspond largely to vocabulary items-that  is, consciously accessi- 
ble knowledge of the sound-meaning pairings of words. More abstract lexical 
knowledge (i.e.,  lexicalized knowledge of grammatical properties, such as ar- 
gument structure)  is  not  declarative  (Paradis, 2004).  Even vocabulary items 
do  not  depend  on  declarative  memory  when  they  are  processed  implicitly 
(nonconsciously) in  sentence contexts  (Paradis, 1994). Thus Paradis'  claims 
for the lexicon differ at least partly from those of the DP model: Whereas the 
DP model  assumes  that  all lexical knowledge resides  in  declarative memory 
(whether  or  not  the knowledge is  available to  conscious awareness), Paradis 
takes seriously the divide between explicit and implicit knowledge, and claims 
that only the conscious use of lexical knowledge depends on declarative mem- 
ory.  Paradis  also  diverges  somewhat  from  the  DP  model  with  respect  to 
neuroanatomy.  He focuses on medial temporal lobe structures for declarative 
memory  and on  the basal ganglia, cerebellum, and neocortex for procedural 
memory; particular neocortical regions do not appear to be implicated, other 
than  left  perisylvian  areas  (Paradis,  1999,  2004).  Finally,  unlike  the  DP 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE 
163 
model, Paradis does not seem to make further predictions  based on our inde- 
pendent  knowledge  of  the  two  memory  systems,  such  as  sex  differences or 
modulation by sex hormones.  Together these predictions  enable Paradis' view 
to be  empirically distinguished  from the DP model. 
Finally, it is important to point  out that a number of theoretical gaps re- 
main to be addressed in the DP perspective of L2 acquisition and processing. 
For example, the precise relation between late SLA on the one hand, and both 
native language acquisition  and early SLA on the other, remains to be deter- 
mined.  In  all  cases,  declarative memory  is  predicted  to  acquire  information 
much  faster  than  procedural  memory.  Thus  even  in  very  young  children 
learning their native language, complex forms as well  as  idiosyncratic knowl- 
edge are predicted  to be  memorized in  declarative memory before grammati- 
cal rules are abstracted in procedural  memory.  Indeed, at least some evidence 
appears to be consistent with this view (e.g., Marcus et al.,  1992). Second and 
subsequent languages learned during early childhood should follow much the 
same pattern.  However, in both of these cases, the fact that language acquisi- 
tion  occurs early,  prior  to the  posited  changes in  the  two  memory  systems, 
leads to the prediction  that the grammar will be acquired with greater facility 
than would occur in later years, particularly following puberty.  Other issues, 
such as the rapidity  of vocabulary learning during childhood  (Bloom, 2000) 
and the role of transfer or interference from previously learned languages, also 
remain  to be investigated. 
9. Summary 
The DP perspective constitutes  a novel alternative to previously proposed 
explanatory hypotheses of SLA. It leads to an array of specific predictions  that 
are largely generated by our independent  knowledge of the two memory sys- 
tems  and  are  directly  testable  using  a  range  of widely  used  behavioral  and 
neurocognitive methods. The predictions allow the model to be directly com- 
pared  against  alternative  accounts  and  provide  the  means  for  it  to  be  both 
falsified and further specified. Thus the DP model may provide a useful para- 
digm for the study of SLA. 
10. Exercises 
The following exercises are designed to increase your understanding of the 
neurocognition of SLA. 
10.1 QUESTIONS 
1. Briefly describe an experiment, using any methodology that you feel is ap- 
propriate,  that could test one or more of the L2-related predictions  of the 
DP model. 
164 
INTERNAL  FACTORS 
2.  According to the DP model, might individual differences in working mem- 
ory capacity lead to individual differences in SLA? Explain your answer. 
3. A  monolingual  adult  male  suffers from  a stroke  that  leads  to  damage to 
Broca's area, the basal ganglia, and surrounding structures, and to the onset 
of Broca's  aphasia and agrammatism in his  L1.  Should he be  able to learn 
an L2? Explain your  answer. How might pharmacological agents improve 
his SLA? 
4. Adult-onset  bilateral damage  limited  to  medial  temporal  lobe  structures 
leads to an inability to learn new knowledge in declarative memory-that 
is, information about facts, events, and words. In contrast, such amnesic pa- 
tients are generally able to acquire new motor and cognitive skills and other 
procedures, even though they do not remember the individual testing ses- 
sions. Should such patients be impaired at SLA? Explain your answer. 
5.  Specific Language  Impairment  (SLI) is  a  congenital  disorder  that  affects 
language. It generally compromises grammatical abilities more than lexical 
abilities. It is also associated with a variety of impairments of nonlinguistic 
hnctions that are linked to the procedural memory system, while declara- 
tive memory appears to be relatively spared (Ullman and Pierpont, 2005). 
Thus it has been suggested that many individuals with SLI may suffer from 
abnormalities of brain  structures  underlying  the  procedural  memory  sys- 
tem  (Ullman  and  Pierpont,  2005).  Do you  think  that  such  individuals 
should show age-of-exposure period  effects in language learning? Why or 
why not? 
10.2 GUIDED  CRITIQUE 
To practice  your  skills  at  reading  and  critiquing  articles  on  the  neuro- 
cognition  of SLA, please  read  the following article and answer the  questions 
below. 
Weber-Fox, C. M., and Neville, H. J. (1996). Maturational constraints on 
functional specializations for language processing: EW and behavioral evi- 
dence in bilingual speakers.  Journalof Cognitive Neuroscience, 8(3),  23 1-256. 
1. Motivations and hypotheses 
a.  What are the primary motivations and goals of the study? 
b.  What hypothesis or hypotheses are the authors testing? 
2.  Methodology 
a.  ERPs. What are ERPs? What do they reveal about neural and cognitive 
processes? What  are  their  strengths  and  weaknesses  as  compared  to 
other neurocognitive methods? 
A  COGNITIVE  NEUROSCIENCE  PERSPECTIVE  165 
b.  Subjects. What subject groups were examined? What factors (e.g.,  age, 
education, etc.) are the subject groups matched or not matched on? Are 
there confounds  between  the subject factors of interest  (e.g., age of ex- 
posure and length of exposure to the L2)? 
c.  Materials and procedure. Why were both behavioral and ERP measures 
acquired? Why was  only receptive language examined with  ERPs? Do 
you think that  14 electrodes were sufficient in this study? What advan- 
tages or disadvantages might such a small number of electrodes confer? 
d.  List the main strengths and weaknesses of the methods  of this study. 
3.  Results. 
a.  Explain the  main  behavioral  results. What  do  you  think  are the most 
important  results, and why? 
b.  Explain the main ERP results.What do you  think  are the most  impor- 
tant results, and why? 
c.  Did one or more of the subject groups yield a pattern  of results that was 
particularly different from that of the others? Why might  this be? 
4.  Discussion and conclusions. 
a.  What conclusions do the authors  draw from their results? 
b.  Are all of their conclusions justified  by the data? 
c.  Do  their  data  suggest  additional  questions  for  study? Suggest one  or 
more experiments to investigate any additional questions of interest. 
Further Reading 
Birdsong,  D.  (2004). Second  language  acquisition  and  ultimate  attainment.  In 
A. Davies & C. Elder (Eds.), Handbook ofAppliedLinguistics (pp. 82-105). Oxford, 
UK: Blackwell. 
Opitz, B.,  & Friederici, A. D. (2003).  Interactions of the hippocampal system and the 
prefrontal cortex in learning language-like rules. Neuroimage,  I9(4), 1730-1737. 
Paradis,  M.   (2004). A  neurolinguistic  theory  of  bilingualism.  Amsterdam:  John 
Benjamins. 
Ullman, M.  T. (2004).  Contributions of  memory circuits to  language: The declara- 
tive/procedural model. Cognition, 92(1-2), 23 1-270. 
Acknowledgments 
This  chapter  was  written  with  support  from  NSF  SBR-9905273,  NIH 
:H58189,  and  research grants  from  the National Alliance  for Autism  Re- 
search,  the  Mabel  Flory  Trust,  and  Pfizer,  Inc.  I  thank  David  Birdsong, 
Claudia  Bonin,  Harriet Wood Bowden, Ivy Estabrooke, Shira Fischer, Mat- 
thew  Moffa,  Kara  Morgan-Short,  Michel  Paradis,  Cristina  Sanz,  Matthew 
Walenski, and Robbin Wood for helpful comments. 
166  INTERNAL  FACTORS 
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NEW PARADIGM FOR L2 LEARNING: 
THE NEUROLINGUISTIC APROACH 
(NETTEN & GERMAIN, 2012) 
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85 
 
 
THEORETICAL ARTICLE 
 
 
 
A new paradigm for the learning of a second or 
foreign language: the neurolinguistic approach  
 
 
Joan NETTEN
1, *
 and Claude GERMAIN
2, * 
 
 
1
 Memorial University of Newfoundland 
2
 Universit du Qubec  Montral 
*
 Emails: jnetten@mun.ca and germain.claude@uqam.ca 
 
 
 
Abstract 
 
This  article  considers  the  contribution  of  research  in  neuroscience  to  resolving 
the question of how to develop communication skills in a second language in an 
institutional setting. The purpose of the article is to demonstrate how the findings 
of  cognitive  neuroscience  can  assist  educators  to  understand  the  complexity  of 
learning  and,  as  a  result,  to  develop  more  effective  instructional  practices.  The 
article  begins  with  a  brief  description  of  the  two  options  for  the  learning  of 
French  as  a  second  language  currently  offered  in  the  Canadian  school  system 
and  the  deficiencies  inherent  in  these  programs  for  a  country  attempting  to 
foster  English-French  bilingualism  in  its  anglophone  citizens.  Secondly,  the 
paradigm  underlying  the  core  French  option,  based  on  cognitive  psychology,  is 
examined and its limitations are discussed. The remainder of the article presents 
the  Neurolinguistic  Approach  (NLA)  as  developed  by  the  authors,  explaining  its 
bases  in  cognitive  neuroscience,  the  ensuing  five  major  principles  of  the 
approach, with the pedagogical consequences that each one entails. Reference 
is  then  made  to  two  classroom  applications  of  the  NLA:  intensive  French 
implemented widely in Canada and another adaptation implanted in China. After 
comparing  the  approach  briefly  with  French  immersion,  limitations  of  the  NLA 
are  presented,  and  the  article  concludes  with  some  directions  for  future 
research.  The  positive  results  of  the  practical  applications  of  the  NLA  indicate 
the  important  contribution  research  in  cognitive  neuroscience  can  make  to 
improving learning in a classroom situation. 
 
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1. Introduction 
 
The  Neurolinguistic  Approach  (NLA)  to  second/foreign  language  (L2/FL) 
acquisition  is  a  new  paradigm  for  the  teaching/learning  of  communication 
skills  in  an  L2/FL  in  the  school  system.  This  new  pedagogical  approach  has 
been  conceptualized  by  Netten  and  Germain  in  the  context  of  the  emerging 
influence of neuroscience on education. It is based primarily on the research 
of Paradis (1994, 2004, 2009), N. Ellis (2011) and Segalowitz (2010), and is 
also  influenced  by  the  research  on  social  interaction  by  Vygotsky  (1962). 
Research  from  four  other  Canadian  applied  linguists  has  also  been 
incorporated into the new paradigm: Lyster (2007), Lyster & Ranta (1997) and 
Lightbown & Spada
 
(1994). 
 
 
2.  Current  options  for  learning  French  as  a  second  language  (FSL)  in 
Canada 
 
In  Canada,  since  the  1960s,  we  have  had  two  types  of  French  second-
language programs in the school system: the regular program, referred to as 
core  French  and  French  immersion.  Core  French  generally  consists  of 
approximately 90 to 120 hours of instruction per school year, offered in daily 
periods  of  30  to  50  minutes  during  which  students  learn  the  basics  of  the 
language  through  exercises  and  practice.  This  program,  as  offered  in  most 
provinces  or  territories  of  Canada,  begins  in  grade  4,  though  in  some 
situations  instruction  may  begin  in  the  primary  grades,  and  continues  to  the 
end of grade 9 or 10. It may be continued as an optional subject to the end of 
secondary  school.  Students  who  remain  in  the  program  to  the  end  of 
secondary school receive approximately 1200 hours of instruction (Snchal, 
2004).  Immersion  consists  of  the  appropriation  of  the  second  language 
through the use of French to learn the subject matter of the school curriculum. 
This  program,  first  implemented  in  St-Lambert  in  the  province  of  Qubec  in 
1965, has expanded across Canada and is also widely known internationally. 
Initially  introduced  in  the  first  year  of  schooling,  other  starting  points  have 
been  adopted  giving  three  variations  of  the  approach:  early,  middle  and  late 
immersion  (Rebuffot,  1993).  In  the  first  years  of  the  program,  nearly  100 
percent  of  instruction  is  in  French;  as  the  program  progresses  through  the 
grades,  the  percentage  of  instruction  in  French  decreases.  By  the  end  of 
secondary  school,  students  have  received  between  3000  to  5000  hours  of 
instruction  (Calv,  1991).  Theoretically,  these  two  programs  provide  two 
alternate routes for the attainment of English-French bilingualism through the 
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school  system  for  anglophones.  However,  the  programs  are  not  comparable 
options, either in their results or in student participation. 
 
With  respect  to  results,  it  is  widely  known  that  students  participating  in  the 
core French program do not attain fluency in French by the end of secondary 
school  (Harley,  Hart,  Lapkin,  &  Scane,  1991;  Hart  &  Scane,  2004;  Netten  & 
Germain, 2007). In contrast, students in the various options of the immersion 
program do (Rebuffot, 1993). Students participating in the immersion options, 
and their parents, are generally satisfied with the program; those participating 
in  core  French  are  not  as  much  (Atlantic  Provinces  Education  Foundation, 
2004).  The  lack  of  satisfaction  on  the  part  of  the  core  French  students  is 
reflected in high program dropout rates, low enrolments in the optional years, 
and  a  general  feeling  among  anglophones  that  they  cant  learn  French. 
While  immersion  is  the  most  effective  program,  participation  is  limited  for  a 
variety  of  reasons.  In  2010-2011,  of  the  number  of  students  enrolled  in 
French  second  language  classes,  84  percent  were  in  core  French;  only  16 
percent  were  in  immersion  program  options  (Canadian  Parents  for  French, 
2012). This imbalance between results and participation creates a situation in 
which  most  anglophones  in  Canada  do  not  have  the  opportunity  to  become 
bilingual.   
 
This  unfortunate  situation  gives  rise  to  a  research  problem:  is  it  possible  for 
core  French  students  to  develop  communication  skills  in  French  in  a 
classroom  situation?  It  is  well-known  that  individuals  can  develop 
communication  skills  outside  of  a  school  situation,  but  developing 
communication skills in a second language seems to elude those learning the 
language  in  an  institutional  setting.  For  a  number  of  years,  various  attempts 
have  been  made  to  improve  the  results  of  classroom  instruction  (LeBlanc, 
1990),  without  success.  A  positive  answer  to  the  problem  of  attaining 
communication  skills  in  the  classroom,  and  indications  as  to  the  conditions 
necessary  for  their  successful  development,  have  now  been  provided  by  the 
recent  research  in  cognitive  neuroscience,  and  in  particular  in 
neurolinguistics. This research also provides reasons for the lack of success 
of  current  second  language  programs  modeled  on  the  tenets  of  cognitive 
psychology.  
 
 
3. Paradigm based on cognitive psychology 
 
The introduction of modern languages into the school curriculum followed on 
the tradition of the teaching of the classical languages, Latin and Greek. The 
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grammar-translation  method  was  the  standard  model  for  second-language 
teaching; students learned vocabulary, verb conjugations and grammar rules, 
and  applied  this  knowledge  to  the  translation  of  passages  from  the  target 
language  to  their  first  language,  and  vice  versa.  This  traditional  approach 
works well to develop explicit knowledge about a second language and how it 
works.  However,  with  the  advent  of  an  emphasis  on  communication, 
particularly  oral  communication  in  a  modern  language,  and  the  adoption  of 
what  has  been  called  the  communicative  approach,  goals  of  second-
language  teaching  expanded  beyond  explicit  knowledge  of  the  morpho-
syntactic  forms  of  the  language  to  its  use  in  communicative  situations.  With 
this  change,  the  traditional  paradigm  of  second-language  learning  became 
obsolete as a theoretical basis for classroom practices.   
 
Various attempts were made to adjust the traditional paradigm to suit the new 
reality  of  second-language  learning.  Cognitive  psychology,  which  studies  the 
mental  processes  necessary  in  acquiring  and  using  knowledge,  appeared  to 
provide  the  best  explanation  of  how  second-language  learning  could  take 
place  in  the  school  system.  Although  researchers  had  accepted  that  the 
ability to speak in a second language required the development of an implicit 
competence in the language (a non-conscious, or automatic, use of language 
forms),  it  was  still  widely  assumed  that  explicit  knowledge  of  the  second 
language (vocabulary, verb forms, grammar rules) was necessary before one 
could  communicate  spontaneously.  As  a  result,  developing  communication 
skills in a second language was conceptualized as a process similar to that of 
learning other school subjects. The most widely accepted view of the process 
of  second  language  learning  was  that  of  Anderson  (1990)  and  DeKeyser 
(1998),  which  proposed  that  the  learning  took  place  in  three  steps:  first, 
acquisition  of  knowledge  about  the  language  (vocabulary,  rules, 
conjugations); second, solidification of this knowledge through exercises; and 
third, transfer of this knowledge to use in communicative activities. According 
to  this  paradigm,  explicit  knowledge  about  the  language,  through  use  in 
exercises,  becomes  so  well-established  in  the  mind  that  it  can  eventually  be 
used  automatically,  or  non-consciously,  to  communicate  spontaneously:  that 
is, knowledge, through practice, is transformed into an ability, or a habit. For 
cognitive  psychology,  the  second-language  learning  equation  is:  explicit 
knowledge + practice = implicit competence. 
 
Resources  for  the  teaching  of  second  languages  have  been  produced 
according to this paradigm for the last twenty years. Commercially published 
texts contain vocabulary lists, verb conjugations, grammar rules, exercises to 
practice  this  knowledge,  and  various  activities  to  engage  in  to  use  it 
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automatically  in  spontaneous  communication.  However,  the  results  of  this 
approach  to  developing  communication  skills  in  a  second  language  have 
been minimal. R. Ellis (1997) wrote of secondary Japanese students learning 
English that, after six years of studying English, much of which was taken up 
with  the  learning  of  grammar,  many  of  these  students  leave  school  with  no 
procedural ability to communicate in English (p. 75, note 10). Researchers at 
the  Ontario  Institute  for  Studies  in  Education  concluded,  after  testing  of 
French language skills conducted in five provinces with core French students, 
that  in  general,  with  some  minor  exceptions,  the  scores  did  not  vary 
significantly at grade 8, whether the starting grade was kindergarten, grade 1, 
3, 4, 6 or even grade 8 (Harley et al., 1991, cited by Lapkin, 2008). Ten years 
later,  after  the  implementation  of  new  resources  developed  for  FSL 
classrooms  based  on  the  recommendations  of  the  National  Core  French 
Study  (LeBlanc,  1990),  our  research  findings  were  similar  to  those  reported 
by  Lapkin  (2008).  They  confirmed  that  the  ability  to  speak  French  does  not 
increase,  despite  the  number  of  years  of  instruction  in  the  core  French 
program (Netten & Germain, 2009). Furthermore, they indicated that a level of 
spontaneous  communication  is  generally  not  achieved  by  students  of  core 
French.  More  recently,  testing  undertaken  with  the  DELF  (Diplme  dtudes 
en  langue  franaise)  in  several  provinces  indicates  that  students  in  the  core 
French  program  do  not  achieve  an  independent  level  of  language  use.  It 
would appear that the paradigm of learning how to communicate in a second 
language  based  on  cognitive  psychology  does  not  produce  the  expected 
results. 
 
 
4.  Contributions  of  cognitive  neuroscience  to  the  conceptualisation  of 
the neurolinguistic approach (NLA) 
 
The  missing  link  in  the  language  learning  equation  might  be  provided  by  a 
new perspective on the learning of second languages proposed by Paradis in 
his  neurolinguistic  theory  of  bilingualism  (1994,  2004,  2009).  Based  on  his 
analysis  of  research  on  bilingual  patients  suffering  from  aphasia  and 
Alzheimers disease, he concluded that: (1) implicit competence, governed by 
the  procedural  memory,  and  explicit  knowledge,  retained  in  the  declarative 
memory, are two distinct aspects of neuronal functioning; (2) there is no direct 
connection  between  the  two.  If  there  were  a  direct  connection,  then  simply 
knowing  the  rules  of  a  language  would  enable  an  individual  to  speak  the 
language,  and  being  able  to  speak  the  language  would  imply  that  the 
individual possessed knowledge of the rules of the language. And (3) explicit 
knowledge does not transform into implicit competence, the ability underlying 
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spontaneous communication. If this were not the case, then people suffering 
from  some  types  of  aphasia  would  also  suffer  from  Alzheimers,  and  vice 
versa (Paradis, 2004, 2009).  
 
These  findings  have  enormous  significance  for  the  conception  of  the  NLA.  
The  contribution  is  not  related  to  identifying  the  way  in  which  an  individual 
learns  an  L2/FL,  but  in  the  conclusion  that  implicit  competence  and  explicit 
knowledge  are  two  separate  and  distinct  elements,  and  that  BOTH  are 
necessary  for  the  development  of  communicative  competence  in  a  second 
language.  Implicit  competence  is  required  to  be  able  to  communicate  orally; 
explicit knowledge is necessary in order to communicate accurately using the 
written  forms  of  the  language.  Each  is  an  independent,  but  insufficient, 
component  of  the  ability  to  use  a  language  for  purposes  of  communication. 
From  a  neurolinguistic  perspective  on  learning  an  L2/FL,  the  equation 
becomes:  implicit  competence  +  explicit  knowledge  =  ability  to 
communicate. The finding that two components must be developed to attain 
the ability to communicate provides the key element in the construction of the 
NLA. 
 
A  second  contribution  from  neurolinguistics  pertains  to  the  development  of 
implicit  competence.  Since  both  implicit  competence  and  explicit  knowledge 
are required for communication, the question arises as to how they can each 
be  developed.  Explicit  knowledge  does  not  present  a  problem  as  instruction 
has generally focussed on declarative learning; however, implicit competence 
does. Paradis indicates that the frequent oral use of the language is required. 
What  serves  as  input  for  the  development  of  implicit  competence  is  the 
frequency  with  which  particular  constructions  are  used,  irrespective  of  their 
surface form (2009, p. 80). Paradis further indicates that implicit competence 
is a non-conscious ability to use vocabulary and structures of the language in 
authentic  communication.  It  is  composed  of  pathways,  or  networks  of 
neuronal  connections,  that  are  developed  by  using  the  language  to  express 
messages,  or  meaning.  These  language  patterns  are  developed  without  any 
conscious attention on the part of the learner; they are simply the result of the 
frequency  of  use  of  the  structures.  Because  of  the  non-conscious  nature  of 
implicit  competence,  it  is  developed  when  the  learner  concentrates  on  the 
message  being  transmitted,  not  on  language  forms,  and  is  created  without 
any conscious effort on the part of the learner. Learners are not aware of the 
development  of  implicit  competence,  nor  of  using  it  when  they  construct  an 
utterance  in  the  L2/FL.  N.  Ellis  (2011),  who  also  indicates  that  it  is  language 
use  that  is  fundamental  to  developing  the  ability  to  communicate,  further 
specifies that the process takes place most effectively when a small number 
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of  structures  are  used  and  re-used:  language  form,  language  meaning,  and 
language  use  come  together  to  promote  robust  induction  by  means  of 
statistical  learning  over  limited  samples  [emphasis  added]  (p.  1).  The  only 
way to develop implicit competence is to use and re-use structures over and 
over  again  until  the  connections  between  the  morphosyntactic  phenomena 
are  well-established  in  the  procedural  memory.  Furthermore,  this  language 
use, in the beginning stages, tends to occur effectively when a small number 
of structures are used and re-used by the learners in many different situations 
in  order  for  the  neuronal  pathways  to  be  established.  These  findings  from 
neurolinguistics,  as  to  how  implicit  competence  is  created,  are  also  of  major 
significance  in  the  conception  of  the  NLA.  They  indicate  that  implicit 
competence  is  a  skill,  not  knowledge,  and  that  there  are  defined  conditions 
necessary to encourage the development of the skill. 
 
A third contribution from cognitive neuroscience to the conception of the NLA 
is  the  importance  of  oral  language.  According  to  the  recent  research  in 
neuroeducation,  the  acquisition  of  oral  language  precedes  the  learning  of 
explicit knowledge about the language. Learning a foreign (second) language 
must  focus  on  oral  development,  especially  as  oral  language  is  associated 
with  mimicry  and  gestures,  and  because  of  the  importance  of  the  role  of 
prosody  (Huc  &  Vincent  Smith,  2008,  p.  31,  own  translation).  The 
significance of this finding is that language instruction can begin immediately 
with  using  the  language  orally  in  authentic  communication;  to  begin  with 
learning  knowledge  about  the  language  is  an  unnecessary  detour.  This 
perspective  on  language  learning  is  significant  in  that  it  complements  the 
notion of implicit competence as a skill, requiring the use of oral language for 
its  development,  and  reinforces  the  concept  of  beginning  with  oral 
development.  
 
Finally, a fourth contribution from cognitive neuroscience to the conception of 
the NLA is the principle of transfer appropriate processing (TAP). Research in 
cognitive  neuroscience  has  indicated  that  the  brain  records  data  with  its 
context.  It  is  easier  to  retrieve  data  in  the  brain  if  the  context  in  which  it  is 
used  is  similar  to  that  in  which  it  is  learned  (Segalowitz,  2010).  The 
significance of this finding for the NLA is that, similar to the point of view of N. 
Ellis,  language  should  be  learned  in  context,  and  furthermore,  that  the 
contexts  of  learning  should  be  similar  to  the  contexts  where  the  learned 
material  will  be  used.  This  statement  holds  true  both  for  oral  and  for  written 
use of the language. An example of a learning practice that demonstrates an 
inappropriate  learning  strategy  is  the  memorization  of  verb  conjugations.  In 
real  conversation,  only  one  appropriate  form  of  the  verb,  followed  by  an 
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adverb,  object  or  appropriate  completion  of  the  utterance,  is  used. 
Memorizing a series of verb forms as a block makes it more difficult to locate 
the  appropriate  form  for  a  particular  sentence.  While  this  principle  does  not 
affect directly the learning of communication skills, it does have considerable 
impact  on  the  effectiveness  of  the  types  of  learning  situations  and  teaching 
strategies used in the classroom. 
 
 
5. The neurolinguistic approach (NLA) to second-language learning 
 
The  NLA  to  second-language  learning  provides  a  new  paradigm  for  the 
effective  acquisition  of  communication  skills  in  a  second  language  in  a 
classroom  setting.  The  defining  characteristic  of  the  approach  is  the  need  to 
develop  independently  in  the  classroom  the  two  components  of  effective 
communication:  implicit  competence,  or  the  ability  to  use  spontaneously  an 
L2/FL,  and  explicit  knowledge,  a  conscious  awareness  of  how  the  language 
works,  grammar  rules,  and  vocabulary.  In  order  to  help  teachers 
conceptualize  these  two  components,  we  have  used  the  terms  internal  and 
external grammar. 
 
Explicit  knowledge  is  conscious  knowledge  that  an  individual  possesses  of 
the  vocabulary,  grammar  rules,  and  other  aspects  of  language  that  can  be 
found in a text, discussed and evaluated by exercises or tests and explained 
by  a  teacher.  Such  knowledge  can  be  accessed  consciously  for  use  when 
writing in the second language, and for certain aspects of auto-correction. For 
pedagogical purposes, in order to explain our approach to teachers, we have 
called  this  component  external  grammar.  The  core  French  program  enables 
students  to  obtain  this  knowledge,  and  the  concept  is  very  familiar  to 
teachers. 
 
Implicit  competence  is  the  non-conscious  ability  to  use  vocabulary  and 
structures  of  the  language  in  authentic  communication  composed  of 
pathways,  or  networks  of  neuronal  connections.  As  previously  indicated, 
these patterns are created without any conscious attention on the part of the 
learner;  the  learner  is  not  aware  that  he  is  developing,  or  using,  these 
networks.  The  non-conscious  nature  of  implicit  competence  means  that  its 
existence  and  development  are  not  obvious  to  the  teacher  or  the  learner.  In 
order  to  assist  teachers  to  understand  the  non-conscious,  yet  essential, 
nature  of  implicit  competence,  we  have  called  it  an  internal  grammar,  even 
though  it  does  not  possess  any  connection  with  grammar  rules  learned 
explicitly.  Participation  in  a  core  French  program  does  not  permit  the 
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development  in  each  student  of  the  internal  grammar  necessary  for 
spontaneous communication. 
 
In order to determine how to improve the core French program in the light of 
the  findings  from  neurolinguistic  research,  we  condensed  the  major  findings 
identified  in  the  research  into  five  basic  principles  that  should  underlie  the 
pedagogy in a classroom where the acquisition of communication skills in an 
L2/FL is the goal of the instruction. We then re-conceptualized each of these 
principles  in  terms  of  their  pedagogical  consequences.  These  principles, 
presented  here  first  as  findings  from  research  and  then  restated  in 
pedagogical terms, are: 
  
  creation  of  implicit  competence  -  acquisition  of  an  internal 
grammar; 
  primacy of oral development - use of a literacy-based pedagogy;  
  focus  on  meaning  rather  than  form  -  use  of  a  project-based 
pedagogy; 
  authenticity of language and communication situations - creation 
of authentic communicative situations in the classroom; 
  interaction  between  students  in  the  classroom  -  use  of 
interactive teaching strategies.  
 
Our first step was to examine the core French program to identify the extent 
to  which  these  principles  were  respected  in  the  resources  and  teaching 
strategies  used.  Our  findings  indicated  that  there  was  neither  time  nor 
sufficient  individual  student  participation  to  develop  internal  grammar;  the 
curriculum  was  overburdened  with  vocabulary  and  structures,  and 
considerable  reuse  of  language  learned  was  not  feasible.  Oral  development 
was  often  neglected;  learning  an  L2/FL  was  generally  conceived  of  as 
learning knowledge about the language rather than developing skill in using it. 
 
The  ability  to  read  and  write  in  French  was  generally  assumed,  not  taught.   
The focus was primarily on learning correct forms rather than on the meaning 
of  the  utterances.  When  project  activities  were  used,  the  emphasis  was  on 
the production of an object rather than on use of the L2/FL. In most activities, 
authenticity  of  language  use  was  not  a  consideration;  accuracy  of  language 
was.  Utterances  were  often  contrived  to  contain  targeted  grammatical 
structures.  Interaction  between  students  was  virtually  absent  from  the 
classroom. These findings indicated to us that new curriculum resources and 
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teaching strategies had to be invented to operationalize in the classroom the 
findings  of  the  neurosciences  for  effective  learning  of  communication  skills. 
We  then  conceived  specific  changes  to  curriculum  resources  and  new 
teaching  strategies,  in  order  to  create  in  a  classroom  the  conditions 
necessary  for  students  to  develop  spontaneous  communication  in  an  L2/FL. 
Each principle, stated as a pedagogical imperative, is described below, giving 
its  source  in  neurolinguistics/cognitive  neuroscience,  followed  by  the 
instructional prescriptions that ensue.  
 
5.1 Principle 1: Acquisition of an internal grammar  
 
According  to  neurolinguistic  research,  the  acquisition  of  an  internal  grammar 
requires  the  use  and  re-use  of  a  limited  number  of  structures  in  authentic 
communication  with  sufficient  frequency  that  the  brain  is  able  to  detect 
underlying regularities and develop neuronal connections, or pathways, which 
are recorded by the students procedural memory and thus permit the student 
to engage in spontaneous communication (Paradis, 2004; N. Ellis, 2011). 
 
Two types of pedagogical consequences follow in order to create a classroom 
situation  that  provides  learners  with  the  opportunity  to  create  an  internal 
grammar:  one  curriculum-oriented  and  the  other  related  to  teaching 
strategies.  With  respect  to  the  curriculum  design,  less  vocabulary,  fewer 
structures  and  more  interactive  activities  are  required  than  are  currently 
provided  in  resources  for  L2/FL  learners.  In  the  NLA,  in  order  to  provide  the 
opportunities  to  use  and  re-use  a  limited  number  of  structures  in  authentic 
conversational  situations,  each  unit  presents  three  or  four  communication 
functions  related  to  each  other  and  to  the  unit  topic.  Each  function  is 
presented only orally first and used separately in several different situations to 
create short, personal conversations between the students. By the end of the 
unit,  the  functions  are  combined  to  create  a  somewhat  more  complex 
discussion  on  the  topic.  This  realignment  of  the  curriculum  to  permit  skill 
development  is  a  complete  change  from  current  resources  that  focus  on  the 
development of knowledge about the L2/FL.  
 
With respect to teaching strategies, in order for the students to use and reuse 
each  of  the  structures  in  meaningful  situations,  as  close  as  possible  to 
authentic communication, seven steps for the teaching of oral communication 
have been prescribed (Netten & Germain, 2007, 2012). These steps include: 
 
1.  modeling  by  the  teacher  of  authentic  sentences  that  contain  a 
message to be communicated: to give a model for a reply; 
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2.  questioning  of  several  students  by  the  teacher  in  order  to  elicit 
answers  that  are  adapted  and  personal  from  the  students:  for 
students to learn how to construct a reply; 
3.  questioning  of  several  more  students  by  other  students,  based 
on  the  model  given  orally  by  the  teacher  with  answers 
appropriately personalized by the students: to learn how to ask 
questions; 
4.  simultaneous  questioning  of  all  students  of  each  other  in  pairs, 
for a very brief time limit, using the language structures already 
modeled:  to  use  new  structures  to  communicate  a  personal 
message / interact; 
5.  questioning  by  the  teacher  of  individual  students  about  the 
personalized  responses  given  by  their  partner  in  the  preceding 
interaction:  to  re-use  the  new  structures  in  a  different  situation, 
with limited changes to the structures; 
6.  repeating the interaction in step 4, with a different partner: to re-
use  the  structures  again,  in  another  different  situation  requiring 
minimal changes to communicate; 
7.  repeating step 5, with questions pertaining to the answers of the 
new  partner:  to  re-use  the  structures  again  with  minimal 
changes  in  order  to  create  pathways  (procedural  memory)  that 
underlie the skill of speaking. 
 
The steps reflect the finding that the ability to speak a language depends on 
the  development  of  implicit  competence,  or  a  skill,  through  frequent  use  of  a 
limited  number  of  structures  in  authentic  communication,  rather  than  simply 
knowledge  of  what  the  structure  is,  as  is  currently  the  case  in  core  French 
classrooms. Throughout these steps, the teacher may interrupt the sequence 
to ask any student about the answer given by a classmate, thus enabling the 
teacher  to  fashion  the  interactions  to  imitate  more  accurately  a  natural 
conversation.  
 
The  conception  of  an  internal  grammar  developed  from  the  findings  of 
neurolinguistic  research  gives  rise  to  another  teaching  strategy:  the  use  of 
complete  sentences  when  introducing  new  structures.  Internal  grammar 
consists  of  morphosyntactic  connections  which  are  horizontal  in  nature;  it 
cannot be developed by using partial sentences and single word answers. In 
order to develop their internal grammar, the teacher ensures that the students 
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always  construct  a  complete  sentence.  The  teacher  also  regularly  corrects 
errors  (phonetic,  morphological,  syntactic,  lexical  and  discursive)  in  order  to 
ensure  that  the  grammar  being  internalized  is  accurate.  In  the  NLA,  the 
correction  of  errors  is  crucial,  since  it  is  this  procedure  that  replaces,  to  a 
certain extent, the teaching of explicit grammar, which does not enter into the 
teaching situation until the introduction of writing (Netten & Germain, 2005).  
 
With  the  use  of  a  curriculum  designed  in  this  fashion,  and  the  teaching 
strategies, oral language is learned in the context of a conversation and error 
correction is integrated into the learning process for effective transfer to other 
situations.  Research  in  cognitive  neuroscience  has  demonstrated  the 
importance of transfer appropriate learning (TAP) in enabling students to use 
skills  in  similar  situations  (Segalowitz,  2010);  once  students  learn  to  use 
structures  in  a  conversation  they  are  more  able  to  use  them  in  similar 
contexts.  The  importance  of  integrating  error  correction  into  the  structures 
used  in  second-language  acquisition  has  also  been  confirmed  by  research 
(Lyster and Ranta, 1997). 
 
Neurolinguistic research indicates that developing the ability to communicate 
orally  in  a  second  language  is  essentially  a  process  of  creating  language 
habits.  This  process,  as  with  the  development  of  any  skill,  requires  frequent 
utilisation of the skill to be developed (i.e. the L2/FL) in a short time frame. In 
an  institutional  setting,  this  need  translates  into  time  in  the  school  day. 
Therefore, it is necessary to have recourse to a period of intensive instruction 
at  the  beginning  of  the  learning  experience.  In  general,  students  in  regular 
L2/FL  classrooms  are  not  exposed  to  the  L2/FL  for  long  enough  periods  of 
time  each  day,  or  cumulatively  during  a  school  year,  to  create  the  internal 
grammar  necessary  for  spontaneous  communication.  Without  a  certain 
intensity  of  exposure  to  use  of  the  language,  the  neuronal  pathways  cannot 
be  fully  established.  Spontaneous  communication,  or  the  development  of  an 
internal  grammar,  can  only  be  achieved  by  relatively  intense  use  of  the 
second  language.  Language  programs,  such  as  core  French,  which  proceed 
by  a  drip-feed  approach  (30-50  minutes  a  day),  simply  do  not  provide  the 
continuous use of a second language needed to develop the language habits 
that  form  internal  grammar.  Our  research  has  shown  that,  for  learners  aged 
10  11, at least 270 hours of intensive instruction is required to create some 
spontaneity  (Germain,  Netten  &  Movassat,  2004).  Since  effective  use  of  the 
NLA  requires  more  time  than  the  regular  L2/FL  program,  a  semester  of 
intensive  instruction  is  an  essential  component  of  the  program  in  the  first 
year.  This  aspect  of  the  NLA  is  based  on  the  concept  of  the  importance  of 
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intensity  of  instruction  in  speeding  up  the  learning  process  (Lightbown  & 
Spada, 1994). 
 
The perceived attainment of spontaneous communication by the learners also 
creates  more  positive  motivation  for  language  learning,  therefore  adding  to 
the  effectiveness  of  the  learning  conditions.  In  the  core  French  program, 
students expect to learn to communicate in French. In actual fact, they do not. 
Their lack of ability to communicate is often cited as their reason for dropping 
from  the  program  (Netten,  Riggs,  &  Hewlett,  1999).  In  the  NLA,  students  do 
learn  to  communicate  spontaneously;  their  success  increases  substantially 
their  self-esteem.  In  qualitative  research  undertaken  with  teachers  and 
parents,  all  mentioned  the  positive  change  in  self-esteem  that  resulted  from 
participation  in  the  NLA  (Germain  &  Netten,  2004).  It  may  be  hypothesized 
that the ability to communicate, and the accompanying pride in being able to 
do  so,  increased  the  motivation  of  the  students  to  continue  their  L2/FL 
learning  experience.  The  atmosphere  in  a  NLA  classroom  is  dramatically 
different from that in a core French classroom. 
 
5.2 Principle 2: Use of a literacy-based pedagogy 
 
Research  in  neuroeducation  indicates  that  the  learning  of  an  L2/FL  must 
prioritize  oral  development,  especially  since  this  aspect  is  associated  with 
gestures and mimicry, and also because of the major role of prosodic features 
in  language  (Huc  &  Vincent  Smith,  2008,  p.  31).  Furthermore,  oral  language 
use  is  required  to  develop  internal  grammar.  In  order  to  increase  the 
emphasis  on  oral  development,  and  to  increase  authentic  use  of  the  L2/FL, 
the  NLA  adopts  a  literacy  perspective  on  language  learning.  A  literacy 
perspective  on  language,  and  particularly  on  the  learning  of  language, 
emphasizes  both  its  oral  foundations  and  nature  as  a  skill.  Literacy  is 
generally  defined  as  being  able  to  use  language  (Government  of  Ontario, 
2004). It is this perspective on language that complements the neurolinguistic 
research  rather  than  the  traditional  view  of  second  language  learning  that 
focuses  on  the  acquiring  of  knowledge  about  the  language.  A  literacy 
perspective enables teachers to view language learning as developing habits 
rather than knowledge, to place a priority on oral language development and 
confirms the sequence of oral development before reading and writing. 
 
The adoption of a literacy perspective on second language learning gives rise 
to pedagogical consequences for both the curriculum and teaching strategies. 
With  respect  to  curriculum  design,  in  the  NLA,  each  unit  is  constructed  to 
begin with an oral phase. Students develop first of all the ability to talk about a 
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certain theme. Reading and writing activities follow in sequence, generally in 
the  same  day  as  the  oral  introduction;  students  learn  to  read  about  a  topic 
using  primarily  the  same  vocabulary  words  and  structures  as  those  already 
developed orally in order to maintain the use and re-use of a limited number 
of language structures (N. Ellis, 2011). Reading precedes writing because it is 
primarily  a  recognition  activity;  in  reading,  students  are  introduced  to  and 
learn to recognize the graphic forms of the sounds of the target language and 
they also observe features of the language specific to the written form. Writing 
follows  reading  because,  in  writing,  observed  knowledge  is  used  in  the 
production  of  the  language  forms.  Explicit  teaching  of  language  forms  is 
initiated with reading activities and continues with writing. Thus, learners can 
build  from  implicit  competence  to  explicit  knowledge  about  the  language,  as 
recommended  by  neurolinguistic  research  (Paradis,  2004,  2009).  Learners 
also continue the use and re-use of a limited number of vocabulary words and 
structures essential to developing an internal grammar (N. Ellis, 2011).  
 
Since  cognitive  neuroscience  has  shown  that  highly  contextualized  learning 
(TAP) translates into more effective learning (Segalowitz, 2010), the learning 
of  explicit  aspects  of  language  (i.e.  external  grammar)  has  also  been 
contextualized in the NLA. Not only is external grammar introduced after oral 
use, but also in a context. Language forms are first identified in the texts used 
for reading, and then are integrated into the learners personal compositions.   
 
With respect to teaching strategies, reading and writing are taught directly in 
the  L2/FL,  without  any  explicit  reference  to  translation.  The  strategies  used 
are  similar  to  those  used  in  the  mother  tongue  classroom  for  literacy 
development,  but  with  modifications  required  for  the  learning  of  a  second 
language.  Modifications  pertain  particularly  to  a  greater  emphasis  on  oral 
development  before  reading  and  writing,  as  well  as  a  more  intense  oral 
preparation at the beginning of reading and writing activities. These changes 
devolve  from  the  neurolinguistic  concept  of  internal  grammar.  In  an  L2/FL 
classroom,  students  possess  an  internal  grammar  that  is  considerably  more 
limited than that of students learning to read and write in their mother tongue. 
Extending internal grammar development through oral use of new or different 
structures in the L2/FL before reading and writing activities enables students 
to integrate these structures into their print-oriented activities without resorting 
to translation (Germain & Netten, 2005a; 2012). 
 
For  reading  there  are  three  phases:  an  oral  pre-reading  phase;  the  reading 
phase  that  has  two  or  three  exploitations  of  the  text:  one  for  the  message, 
incorporating  teacher  modeling  of  the  text  and  another  (at  the  beginning)  to 
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understand the new sound symbol relationships; and the third to observe, and 
formulate,  grammatical  relationships.  Attention  is  focused  on  meaning  and 
form at separate moments, as recommended by Lyster (2007), but in the NLA 
approach,  meaning  always  precedes  form-focussed  instruction  (Krashen, 
1981;  N.  Ellis,  2011).  A  post-reading  phase  integrates  the  new  knowledge 
with  that  already  learned.  Writing  also  follows  the  three  phases,  for  similar 
reasons. Once new vocabulary and structures have been appropriated in this 
sequence,  they  are  then  re-used  in  reading  and  oral  activities  to  integrate 
them  into  the  language  that  has  been  previously  acquired.  In  this  way, 
language learning from a literacy perspective begins and ends with oral use. 
 
Error correction remains important in the teaching of reading and writing. For 
reading,  the  teacher  models  fluent  reading  of  a  text,  that  is,  linking  together 
words  in  groups  that  have  meaning.  Students  are  encouraged  to  read  in  a 
similar  fashion,  as  fluent  reading  aids  comprehension.  This  process  occurs 
more easily when learners have already developed an internal grammar. For 
accuracy,  it  is  important  that  learners  recognize  the  sounds  of  the  L2/FL  in 
their written form and produce or read them correctly. If incorrect connections 
are  made,  a  correct  model  is  given,  and  students  re-read  the  complete 
sentence  in  which  the  correction  occurs,  to  ensure  that  the  correction  is 
placed  in  context.  Both  strategies,  fluent  modeling  and  contextualization  of 
error correction, derive from neurolinguistic research cited previously. 
 
For writing, errors are placed into two categories reflecting the neurolinguistic 
bases  of  the  approach  which  indicate  that  both  knowledge  and  skill  are 
required to develop the ability to communicate in an L2/FL: those that are the 
result of an incorrect internal grammar, or implicit competence, and those that 
are due to inaccurate knowledge of the written form of the L2/FL. Errors that 
are  due  to  incorrect  knowledge  can  be  corrected  by  explanation  and  written 
use  of  the  correct  forms,  and  the  new  information  stored,  and  accessed 
consciously, through use of the declarative memory. Errors that are due to an 
incorrect  internal  grammar,  however,  can  only  be  corrected  by  repeated  oral 
use  of  the  structure  in  authentic  conversation,  as  these  errors  are  related  to 
incorrect  connections  created  by  the  procedural  memory.  It  is  only  when  an 
accurate internal grammar has been constructed that a learner will be able to 
write  correctly,  and  spontaneously  in  the  L2/FL.  Thus,  neurolinguistic 
research has enabled us to re-conceptualize the question of error and create 
a more effective pedagogical response to correction.  
 
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5.3 Principle 3: Use of a project-based pedagogy  
 
Neurolinguistic  research  has  shown  that  in  order  to  acquire  an  internal 
grammar,  attention  must  be  focussed  on  a  message  rather  than  on  the 
language, since internal grammar can only be acquired non-consciously, that 
is,  without  conscious  attention  to  language  forms  (Paradis,  1994,  2004).  N. 
Ellis  (2011)  also  stresses  the  importance  of  the  link  between  meaning  and 
language forms used in the development of the ability to communicate. 
 
The  pedagogical  consequence  of  this  principle  is  primarily  related  to 
curriculum design. The learning of the second language must be based upon 
the use of interesting cognitive tasks that present an intellectual challenge to 
the students (Germain & Netten, 2011). In the NLA, use is made of a project-
based  pedagogy.  To  facilitate  the  creation  of  meaningful  situations  and 
interesting, cognitively-demanding tasks for the students, curriculum units are 
organized  in  a  sequence  of  two  to  four  mini-projects,  each  focusing  on  the 
use of the communication function previously learned orally, which culminate 
at the end of the unit in a related final project. This pattern encourages the re-
use  of  the  language  structures  in  each  unit,  as  the  final  project  requires  the 
integration of language structures used in each of the previous mini-projects. 
The  use  of  a  project-based  pedagogy  allows  students  to  concentrate  on  the 
theme  being  developed,  and  the  expression  of  their  personal  views  on  the 
topic,  rather  than  on  language  forms.  Activities  are  not  isolated,  and  require 
the continuous involvement of the student, thus implicating other areas of the 
brain  necessary  for  effective  language  learning  (Paradis,  2004;  N.  Ellis, 
2011).  Since  the  tasks  are  cognitively  demanding,  they  contribute  to  the 
development  of  cognitive  skills  that  can  later  be  transferred  to  their  first 
language  (Cummins,  2001).  The  use  of  a  project-based  pedagogy  also 
enables teachers to increase gradually in the course of a unit the difficulty of 
the tasks and the complexity of the language structures. 
 
5.4 Principle 4: Use of authentic communicative situations  
 
Neurolinguistic  research  has  indicated  that  the  use  of  authentic  language  in 
real  communication  is  essential  in  order  to  acquire  the  internal  grammar 
necessary for spontaneous communication. Both Paradis (2004) and N. Ellis 
(2011)  mention  the  importance  of  using  authentic  language  in  real 
communicative exchanges for learning of the language structures to occur.  
 
In  addition,  cognitive  neuroscience  has  shown  the  complexity  of  the 
involvement  of  different  centers  in  the  brain,  such  as  those  related  to 
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motivation,  when  authentic  communication  takes  place.  For  effective 
language acquisition, implication of these centers is required (Paradis, 2004). 
This  is  why  internal  grammar  cannot  be  acquired  by  controlled  practice  or 
memorized  dialogues;  material  that  is  learned  in  such  a  way  is  primarily 
focussed  on  language  forms  and  represents  declarative  knowledge;  it  does 
not  contribute  substantially  to  the  creation  of  procedural  memory. 
Furthermore,  each  dialogue  or  exercise  tends  to  be  limited  in  its  scope  and 
integration  into  a  sustained  discussion  of  any  topic:  Controlled  practice 
exercises [...] do not afford students opportunities for [...] the sustained output 
[...] necessary for interlanguage development (R. Ellis, 2002). Another aspect 
of the use of dialogues and practice exercises is that they are not sufficiently 
contextualized  to  be  available  for  use  in  actual  communication,  as  indicated 
by  research  on  TAP  (Segalowitz,  2010).  Students  need  to  be  involved  in 
authentic  communication  in  the  classroom  in  order  to  develop  the  ability  to 
participate in authentic communication in the real world. 
  
The pedagogical consequences of this principle are two-fold. With respect to 
curriculum  design,  units  are  created  based  on  communication  situations  that 
are  as  authentic  as  possible  on  subjects  that  are  of  interest  to  the  students. 
Language functions are chosen based on what the students would most likely 
wish to say. If students wish to say something that is not in the text, teachers 
have  the  liberty  to  construct  a  different  utterance,  provided  that  it  fulfills  the 
communicative  function  of  the  exchange.  All  activities  focus  on  enabling  the 
students to express their own personal reactions. At no point in the units are 
the  students  required  to  produce  language  that  does  not  reflect  their  own 
personal  message.  Teachers  do  not  ask  students  questions  that  are  not 
realistic, and student replies are always personalized.  
 
With respect to teaching strategies, students do not repeat sentences that are 
untrue for themselves, simply to practise a language structure. For example, 
a student would not be asked to say that he is wearing a red shirt, if in fact he 
is wearing a blue sweater. Students are rarely asked to repeat an utterance in 
chorus,  but  if  this  strategy  is  used,  the  utterance  must  be  changed  to  be 
authentic; therefore, students could repeat together, Alice is wearing a green 
dress, but never, I am wearing a green dress. 
  
This  emphasis  on  authenticity  of  conversations  is  also  reflected  in  the  way 
that  teachers  are  asked  to  reply  to  student  utterances.  In  core  French 
classrooms  where  language  is  learned  primarily  as  explicit  knowledge,  the 
standard  reply  to  a  student  utterance  focuses  on  the  accuracy  of  the 
language.  Expressions  such  as  Bravo,  correct,  right  are  regularly  used.  In 
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the NLA classroom replies to a student utterance focus on the meaning of the 
utterance,  and  extend  the  conversation:  comments  such  as,  Yes,  I  do,  too; 
Just like Martha; or Do you agree, Billy?, are made. It is to be noted that, as 
explained  under  the  first  principle,  if  an  error  should  occur,  the  error  is 
immediately corrected, but correction is achieved through a modeling and re-
phrasing  of  the  interchange;  the  emphasis  is  still  on  the  authenticity  of  the 
message. 
 
Communication is always in the L2/FL. Should a new expression be required, 
it is modeled by the teacher and used immediately by the student.  
 
5.5 Principle 5: Use of interactive teaching strategies 
 
Neurolinguistic  research  indicates  that  it  is  through  frequent  use  of  language 
structures  that  the  neuronal  pathways  necessary  for  spontaneous  oral 
communication are created in the procedural memory (Paradis, 2004). It also 
suggests  that  this  use  of  language  must  not  be  simple  repetition  of  learned 
sequences,  but  authentic  language  used  for  purposes  of  communication  (N. 
Ellis, 2011). Since internal grammar is a skill, not knowledge, and its creation 
depends  upon  use,  students  must  engage  in  interactive  exchanges  in  the 
classroom. However, in regular L2/FL classrooms, it is the teacher who does 
most of the talking; in the average L2/FL classroom, up to 85% of the talk is 
teacher-talk  (Germain,  Hardy,  &  Pambianchi,  1991).  Therefore,  in  order  to 
encourage  language  use  by  the  learners,  a  less  formal  classroom 
atmosphere  must  be  created;  interaction  between  the  students  and  the 
teacher, and between the students themselves, must be fostered. 
 
Interaction  is  also  important  as  it  creates  contextualization  of  the  structures 
being  learned  in  authentic  conversational  use  of  the  language  in  the  school 
situation. In effect, it creates a form of TAP (Segalowitz, 2010). Students learn 
to  adjust  to  the  deficiencies  of  real  communication,  such  as  a  sentence  only 
partially  heard,  a  new  word  or  word  used  unexpectedly,  and  asking  for 
clarification, expressing disagreement, and so forth. As a result, students are 
more  capable  of  transferring  their  communication  skills  to  use  of  the  second 
language in the real world. 
 
However,  the  role  of  interaction  has  even  greater  significance.  Interaction 
between the students contributes not only to the development of an individual 
internal grammar, but also to the overall social and cognitive development of 
the  learner  (Vygotsky,  1962).  As  students  discuss  the  various  themes 
contained  in  the  units  they  not  only  negotiate  meaning  on  a  linguistic  plane, 
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contributing to the development of their language skills, they also engage in a 
sharing of ideas and understandings, which, it has been hypothesized, refines 
cognitive  development.  According  to  Perret-Clermont  (1986),  when  engaged 
in  social  interaction,  the  individual  learner  rejects  or  modifies  his  previous 
conceptions,  and  as  a  result,  develops  new  understandings  and  intellectual 
skills. Therefore, in order to ensure that each individual student develops his 
own  internal  grammar,  it  is  essential  that  students  participate  regularly  in 
social  interactions  in  which  they  use  the  second  language.  This  participation 
also  appears  to  have  a  causal  effect  on  cognitive  development  and  the 
restructuring of thought patterns (Doise & Mugny, 1981; Vygotsky, 1962). It is 
this  aspect  of  the  neurolinguistic  approach  that  enables  it  to  make  a  much 
stronger  contribution  to  the  overall  education  of  the  child  than  the  regular 
second language program (Germain & Netten, 2005b). 
 
The  pedagogical  consequences  of  this  principle  primarily  affect  curriculum 
design.  Opportunities  for  group  activities,  pair  work  and  other  forms  of 
interaction are built into the units to ensure that interaction among students is 
a regular part of the classroom activities. In order for the interactive activities 
to  produce  valid  language  use,  all  structures  must  be  modelled  and  used 
beforehand in short exchanges to encourage relatively accurate independent 
use.  To  ensure  that  students  are  adequately  prepared  linguistically  for  all 
interactive  activities,  their  preparation  forms  an  integral  part  of  each  unit.  In 
addition,  in  the  creation  of  project  activities,  attention  is  given  to  the  task  in 
order to ensure linguistic content and to encourage motivational implication on 
the part of the student, as well as an adequate cognitive involvement.  
 
This  view  gives  a  different  perspective  on  learning,  showing  not  only  the 
importance  of  skill  development  and  procedural  memory  on  an  individual 
basis,  but  also  of  the  importance  of  social  interaction  in  learning.  It  would 
seem  important  that,  in  adapting  the  concepts  of  cognitive  neuroscience  to 
the  field  of  neuroeducation,  the  role  of  social  interaction  in  developing 
cognition should not be overlooked.  
 
 
6. Applications of the NLA in real classrooms  
 
There are at the present time (2012) two classroom applications of NLA: the 
Intensive French program in Canada and a university-level French program in 
China, for young adults, aged 19, in one university (Gal-Bailly, 2011; Ricordel, 
2012). The Intensive French program in Canada, which begins in grade 5 or 6 
with students aged 11 or 12 and continues to the end of high school, began in 
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Newfoundland  and  Labrador  in  1998.  Since  that  time,  it  has  expanded  to  all 
provinces except Quebec, where there is Intensive English (a similar, but not 
identical program as it is not based on the NLA). Over 45,700 students have 
participated  in  Intensive  French  at  grade  5  or  6  since  the  inception  of  the 
program. Results of the Intensive French program in Canada indicate that the 
NLA  to  the  teaching  of  French  as  a  second  language  is  far  more  effective 
than  the  regular  core  French  program.  After  one  semester  of  instruction, 
approximately  300  hours,  70%  of  students  in  the  program  are  able  to 
communicate  spontaneously  in  French  on  topics  related  to  their  age  and 
curriculum.  Oral  testing  of  students  from  five  different  provinces,  who 
participated  in  the  Intensive  French  program,  indicate  that  the  average  level 
of  performance  reached  after  five  months  of  intensive  instruction  was  at,  or 
close to, 14, on the New Brunswick Oral Proficiency Interview Scale (OPI), a 
level that represents the beginning of spontaneous communication (Netten & 
Germain, 2009).   
 
As students continue their instruction in the Intensive French program through 
to  the  end  of  secondary  school,  they  are  able  to  attain  the  ability  to 
communicate  spontaneously  on  a  wide  variety  of  subjects,  a  score  of  17  or 
Intermediate Level on the New Brunswick OPI. Their communicative abilities, 
while  not  equal  to  those  of  students  who  have  participated  in  immersion 
programs,  are  far  superior  to  those  of  students  who  have  participated  in  the 
core French program, based on categories of the DELF (Diplme dtudes en 
langue  franaise),  as  is  shown  in  the  graph  below  (Government  of  New 
Brunswick,  2010).  It  is  interesting  to  note  that,  since  2008,  the  province  of 
New Brunswick has replaced core French with the Intensive French program 
for all students who are not in immersion. 
 
 
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Table  1.  Oral  results  for  FSL  students  in  New  Brunswick  in  core,  intensive  and 
immersion  programs  at  the  end  of  secondary  school  (based  on  the  DELF  interview 
scale). 
Oral Language Competency (Key Stage Outcomes) 
   A1      A2      B1      B2 
End of 
program 
A1.1  A1.2  A1  A2.1  A2.2  A2  B1.1  B1.2  B1  B2.1  B2.2  B2 
Core French 
12
th
 Grade 
           
Intensive 
French                   
5
th
 Grade 
           
Post-Intensive 
French                   
8
th
 Grade 
            
Post-Intensive 
French                 
10
th
 Grade 
            
Post-Intensive 
/ Blended 
High School 
Program              
12
th
 Grade 
           
Late 
Immersion                    
10
th
 Grade 
           
Early 
Immersion       
10
th
 Grade 
           
 
 
The NLA, because of its bases in neurolinguistic research, is an approach to 
L2/FL  learning  that  has  positive  implications  for  all  types  of  L2/FL  learners. 
Recent research in the field of education has indicated that the NLA provides 
a  successful  learning  experience  for  immigrant  children,  enabling  them  to 
acquire French without interference to their English development (Carr, 2009). 
In  addition,  it  has  been  demonstrated  that  learners  with  challenges  respond 
positively to the program, due primarily to its oral and interactive nature (Joy 
& Murphy, 2012). 
 
Further  classroom  applications  of  NLA  are  being  developed  in  Canada  by 
other professionals to teach certain First Nations languages in the Yukon, the 
Northwest Territories and Prince Edward Island, as well as in the James Bay 
area to teach English, French and Cree. It appears from these initiatives that 
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curriculum  resources  that  conform  to  the  principles  of  the  NLA  can  be 
adapted to teach communication skills in a wide variety of second languages 
(Netten  &  Germain,  2009).  While  more  research  is  necessary  to  confirm  its 
applicability,  it  would  appear  that  the  principles  upon  which  the  NLA  is 
founded  are  universal  with  respect  to  the  learning  of  communication  skills  in 
an L2/FL. 
 
 
7. Relationship between the NLA and immersion 
 
The  immersion  program  is  based  on  the  premise  that,  if  students  learn 
subject matter in French, they will at the same time appropriate the L2. With 
respect  to  the  five  principles  of  the  NLA,  the  following  comments  may  be 
made. Firstly, the immersion program provides intensity of exposure to the L2 
in the beginning stages, and develops internal grammar, as French is used as 
the  language  of  communication  for  teachers  and  students  throughout  the 
school day. Secondly, immersion is based on a literacy approach to language 
teaching,  as  first-language  instruction  is  always  literacy  based,  even  though 
the instructional practices for effective literacy development change over time. 
Thirdly, in immersion, the focus of the learning is primarily the content of the 
curriculum; language becomes a means to an end. Consequently, immersion 
focuses on the learning of subject matter rather than on the learning of forms 
of  the  language.  Fourthly,  authenticity  of  communication,  at  least  for  a 
classroom  situation,  is  assured.  Interaction  is  the  only  area  that  tends  to  be 
less prevalent in an immersion classroom. For a considerable period of time, 
research  has  shown  that  oral  results  are  more  positive  in  classrooms  where 
more  interaction  occurs  (Netten  &  Spain,  1989).  However,  it  is  only  recently, 
as a result of the findings of neuroeducational research and a change in our 
understanding  of  literacy,  that  attempts  have  been  made  to  encourage  more 
student  interaction  in  the  immersion  classroom.  Teaching  strategies  in 
immersion have been primarily those of the subjects to be taught. 
 
Perhaps  the  major  weakness  of  the  immersion  program  is  that  the 
teaching/learning  of  the  L2  has  been  subordinated  to  the  learning  of  subject 
matter.  Consequently,  there  is  room  for  improvement  in  the  teaching 
strategies  for  L2  learning  in  the  immersion  classroom  (Mandin,  2008).  The 
concept  of  internal  grammar,  as  well  as  many  of  the  teaching  strategies 
conceived  for  the  NLA  are  pertinent,  and  could  be  used  effectively  in 
immersion  classrooms  to  improve  L2  communication  skills.  Among  these 
strategies  may  be  mentioned:  the  use  of  complete  sentences  to  assist  in 
developing an internal grammar; the importance of oral error correction for an 
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accurate internal grammar; an increased emphasis on oral development, and 
the related adoption of a pedagogy for the teaching of literacy that is specific 
to  an  L2;  and  greater  contextualisation  of  teaching  language  forms.  In 
addition, a less formal classroom, with more use of project-type activities and 
student  interaction  to  encourage  personal,  rather  than  academic,  use  of  the 
L2,  would  also  improve  L2  development  for  students  in  immersion. 
Furthermore,  it  may  be  mentioned  that  the  characteristics  identified  by  the 
neurosciences  as  being  necessary  to  effective  development  of  L2 
communication  skills  occur  most  easily  in  early  immersion  (Netten,  2007). 
Because  of  the  nature  of  the  primary  curriculum,  language  structures  are 
somewhat  limited  and  re-used,  literacy  development,  with  an  emphasis  on 
oral  language,  is  a  major  focus,  and  learners  are  actively  involved  in  their 
learning and interact to a certain extent with the teacher. Immersion programs 
with  a  later  start  could  profit  from  an  initial  period  devoted  to  L2  instruction 
before subject matter is introduced as well as the adoption of the L2 teaching 
strategies  of  the  NLA  to  make  them  more  effective  and  appealing.  At  the 
present  time,  there  has  been  some  interest  expressed  in  adopting  some  of 
the  teaching  strategies  of  the  NLA  in  immersion.  Where  this  type  of  change 
has  been  undertaken,  positive  results  have  generally  been  reported,  though 
no research has as yet been undertaken (Cogswell, 2008).  
 
 
8. Limitations of the NLA 
 
Reactions of parents, students, teachers and administrators to the NLA have 
been  extremely  positive.  Not  only  have  communication  skills  improved 
substantially,  but  primarily  because  of  the  ability  to  express  themselves  in 
French,  motivation  and  attitudes  towards  the  learning  of  French,  as  well  as 
towards  francophones  have  shown  improvement  (Germain  &  Netten,  2004). 
There  are,  however,  some  limitations,  related  particularly  to  the 
implementation  of  the  approach  in  the  school  system.  Due  to  the  positive 
results achieved in Intensive French, some parents would like the program to 
start  in  the  primary  grades,  kindergarten  to  grade  3  in  the  North  American 
context. However, the program has been designed to begin in the elementary 
grades, with learners aged 10 - 11. Because of the need for some intensity in 
the  beginning  stages  of  the  program  to  develop  spontaneous  oral 
communication,  it  is  necessary  to  compact  some  elements  of  the  regular 
curriculum.  The  nature  of  the  primary  program  is  such  that  much  of  the 
curriculum  is  devoted  to  literacy  development  in  the  first  language;  reducing 
the  number  of  hours  devoted  to  the  first  language  curriculum  at  this  stage  is 
not  recommended.  The  need  for  an  intensive  period  of  instruction  at  the 
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beginning  of  the  program  also  causes  a  reticence  on  the  part  of  some 
administrators to implement it. Re-arranging the timetable for the grade 5 or 6 
classes  has  implications  on  the  timetables  for  other  grades,  often  creating 
conflicts  that  are  hard  to  resolve.  Related  to  this  issue  is  the  question  of  the 
effects on the other subjects in the curriculum. Reducing the number of hours 
of  regular  instruction  to  increase  exposure  to  the  L2/FL  requires  some 
adjustments  (compacting  or  integration)  in  the  regular  curriculum  during  five 
months  of  the  school  year.  This  necessity  causes  concern  that  there  will  be 
long term negative effects on, or at least a reduction of, learning goals in the 
other subjects, a fear that restricts implementation in some areas. Results of 
standardized testing undertaken by school districts or provincial departments 
of Education, however, have shown that this is not the case; indeed, as is the 
case for the immersion program, in the long term there are positive effects on 
English language, and also on mathematics scores, with no lags in the other 
subject areas (Germain & Netten, 2010).  
 
A  further  limitation  with  regard  to  implementation  of  an  NLA  is  the  need  to 
have  teachers  who  are  qualified  to  implement  the  program.  This  requires  a 
certain  fluency  in  the  L2/FL,  in  order  to  be  able  to  carry  on  an  authentic 
conversation; often teachers with this level of fluency are not available in the 
regular school system. In addition, teachers must be educated to understand 
the theoretical bases of the approach underlying the curriculum and to use the 
teaching  strategies  effectively.  This  imposes  a  certain  burden  on  the  school 
system. Also, the long tradition in core French of putting the emphasis on the 
teaching of knowledge rather than skill requires that teachers be open to the 
adoption of new, and radically different, ideas about the learning of an L2/FL. 
Adopting  the  approach,  and  using  it  effectively,  demands  a  major  change  in 
their  beliefs  about  L2/FL  learning,  and  some  teachers  may  require  two  or 
three  years  before  they  are  able  to  understand  the  shift  in  pedagogy  that  is 
implicit in the NLA. Until the general tenets of neuroeducation are more widely 
diffused,  the  majority  of  teachers  will  have  some  difficulty  in  reorienting  their 
beliefs about learning/teaching. 
 
 
9. Directions for further research 
 
The NLA opens up a whole new area of research for the teaching/ learning of 
an L2/FL. The concept of internal grammar, in particular, is a fruitful area for 
research  on  L2/FL  acquisition.  An  effective  way  of  operationalizing  and 
measuring the level of internal grammar is required. There would appear to be 
a relationship between internal grammar and fluency that should be explored, 
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as  well  as  between  internal  grammar  and  spontaneous  communication. 
Cummins  (1976)  hypothesized  that  there  are  two  threshold  levels  of 
importance  in  L2/FL  learning:  the  lower  threshold  that  should  be  attained 
before  beginning  L2/FL  learning  and  the  upper  threshold  that  marked  the 
beginning  of  actual  cognitive  use  of  the  L2/FL.  Exploring  the  concept  of 
internal grammar, and defining levels, could verify and expand the usefulness 
of  these  hypotheses.  Research  to  examine  the  concept  of  internal  grammar, 
and  its  development,  in  relation  to  the  rhythm  of  individual  learners  in 
developing  literacy  skills  should  also  be  useful  to  educators  in  both  first  and 
second language contexts, and could help to identify learners in difficulty.  
 
At a more general level, a major contribution of the cognitive neurosciences to 
research  in  education  is  the  important  distinction  between  knowledge  and 
skill,  and  the  different  ways  in  which  these  two  products  of  learning  are 
treated  by  the  brain.  It  will  be  important  for  educators  in  all  subject  areas  to 
identify  more  effectively  those  aspects  of  the  curriculum  that  are  knowledge-
based  and  those  that  are  skills,  and  to  realize  that  learning  may  more  often 
require  complex re-organization in the brain rather than the simple storage of 
new information. 
 
In addition, it may be of interest to researchers in the area of neuroeducation 
to  examine  their  findings  in  the  light  of  constructivist  perspectives  on 
instruction.  While  the  processes  of  instruction  follow  their  own  logical  order, 
they  direct  and  awaken  a  system  of  processes  in  the  childs  mind  which  is 
hidden  from  direct  observation  and  subject  to  its  own  developmental  laws 
(Vygotsky,  1962,  p. 102).  What  was  hidden  from  direct  observation  for 
Vygotsky may now be observable with new imaging techniques. Furthermore, 
in  the  school  situation  instruction  by  its  nature  involves  groups  of  individuals 
who interact in the learning situation. How social interaction shapes individual 
cognitive  development  is  an  important  part  of  understanding  learning  and 
developing instructional prescriptions to create effective classroom conditions 
to promote that learning. 
 
 
10. Conclusion 
 
Conception of the NLA demonstrates the significant contribution that research 
in the neurosciences has made to the field of education. Until now the primary 
paradigm on which the resources and strategies for learning to communicate 
in  an  L2/FL  have  been  developed  has  been  that  based  on  the  tenets  of 
cognitive psychology. While the results of this paradigm were unsatisfactory, 
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the reasons for its deficiencies proved to be elusive. It is through the adoption 
of a neurolinguistic perspective on bilingualism that a more successful L2/FL 
paradigm  has  been  conceptualized.  The  five  principles  of  the  NLA  provide 
one  example  of  how  neurolinguistic  theory  can  be  incorporated  into  creating 
new and more effective conditions for developing communication skills. Other 
approaches  may  also  be  developed.  Nonetheless,  in  its  present  form,  the 
NLA  has  been  highly  successful  in  enabling  students  to  communicate 
spontaneously  in  a  second  language  in  a  school  situation,  and  has 
demonstrated its applicability to the learning of second languages other than 
French.  
 
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