Tree Diagrams show hierarchical
structure of sentences. 1
S
6. Parse Trees NP (Noun Phrase)
Art (The)
N (dog)
Example of sentence parsing:
Subject : The doer of the VP (Verb Phrase)
"The dog chased the cat."
action (e.g., She, The dog). V (chased)
NP (Noun Phrase)
Art (the)
Predicate What is said about the
subject (e.g., is running, eats pizza). 1. Sentences structure N (cat)
Object : The recipient of the
action (e.g., the ball, a cake) Word Formation:
Derivation: Add prefixes/suffixes (e.g., happy
unhappy).
Compounding: Combine two words (e.g.,
Parts of Speech book + store = bookstore).
Inflection: Modify words for tense, number, etc.
SYNTAX
. Nouns: People, places, things (e.g., John, car). xig Categories?
• Verbs: Actions or states (e.g., run, is). 2. Grammar 5. Lexical Rules walk walked
.Adjectives: Describe nouns (e.g., big, happy). Nouns, Verbs, Adjectives, Adverbs, etc.
• Adverbs: Modify verbs, adjectives, or other Lexical Relations:
adverbs (e.g., quickly, very). Synonymy: Similar meanings (e.g., big, large).
• Conjunctions: Connect clauses (e.g., and, but). Antonymy: Opposite meanings (e.g., hot, cold).
• Prepositions: Show relationships (e.g., in, on). Polysemy: A word with multiple related
• Tenses: Present, Past, Future (e.g., l eat, I ate, meanings (e.g., bank as a financial institution vs.
I will eat river bank
:Deep Structure Parse Tree
Represents the underlying meaning of a
sentence A visual representation
Example: The boy is reading the book of a sentence's structure.
:Surface Structure
The actual spoken or written form of the
sentence 3. Deep and Surface Structures 4. Syntactic Analysis Nodes represent words and
grammatical categories.
after transformations
Example: The book is being read by the boy
Transformational Rules: Example of a basic sentence
Change deep structure to surface structure S (Sentence)
active to passive, question formation NP (Noun Phrase)
Det (Determiner) + N (Noun)
VP (Verb Phrase)
V (Verb) + NP (Object)