International Journal of Scientific Research & Engineering Trends

Volume 10, Issue 3, May-June-2024, ISSN (Online): 2395-566X

Language Translator Tool

Deepanshu Agrawal, Aryan Vats, Sameer Khan
Dept of CSE,
Noida Institute of Engineering and Technology Greater Noida, Uttar Pradesh, India

Abstract- The Language Translator Tool leverages natural language processing and machine learning to bridge linguistic gaps,
enabling effortless communication across diverse languages. Its real-time translation, intuitive interface, and support for
numerous languages make it indispensable for global interactions in business, travel, and education. By breaking down
language barriers, it fosters understanding and collaboration among individuals and communities worldwide. Whether
facilitating international trade negotiations, aiding travelers in foreign lands, or enhancing cross-cultural education, this tool
plays a pivotal role in promoting unity and connectivity in our increasingly interconnected global landscape.

Index Terms- Html, CSS, JavaScript, Github

I. INTRODUCTION This paper talks about language translator where most of the
population don't understand language and area unit unable to
In communication, language has been a significant barrier for speak effectively with the deaf. Therefore, the deaf realize it
centuries now, and human beings have always tried to provide tough to converse with folks on daily to day basis, this issue
a solution to the issues of language translation. Over the are often solved through asmartphone application.
decade's humans have developed different ways of translating
languages in other to solve the problems associated with This research work proposes a portable and 24x7 available
language differences. Real time world contains different system with support for bidirectional translation i.e. from sign
significant messages, labels and useful information but most language to speech and speech to sign language. The mobile
of them are written in different official languages which application will give normal speech output as audio and text
depend on the host country. Besides that, it is inconvenient for and sign language output asa 3D animated video sequence,
a traveler to carry on their tasks in a foreign country if they with the help of Unity3D.
don’t understand the language used in that country.
According to the research results, there are some
They need to carry a pocket dictionary or use an online recommendation on this system to fulfil the needs and
translation service in order to understand the message. Optical requirements of the end-users. In future, new improvements
character recognition (OCR) has been introduced to simplify can be implemented on this application where the upgraded
the digitization process for users. However, OCR is not able to versions can provide the user to access more languages for
translate scanned text images into different human readable translation. Moreover, online functions can be added to
languages. Therefore, this paper proposed an Android-based provide more updated information.
application programming interface (API) developed using
Firebase as an improvement text recognition program that is This device basically can be used by people who do not know
able to translate the scanned text images into language of user English and want it to be translated to their native language. e.
preference. This proposed API processes text images, detects It involves extraction of text from the image and converting
text from the scanned images, and translates the text into user- the text to translated speech in the user desired language.
preferred languages.
In this paper, authors developed and introduced an Android-
based framework that translates the American Sign Language
II. LITERATURE SURVEY to a text that can be used anywhere. The mobile camera shots
the picture, and skin segmentation is achieved using Cyber
The Author aims to create a mobile application for Indonesian systems. Features are extracted from the image using HOG
and Madurese translators using RESTful API with JSON data and list to recognise the symbol. Using the Support Vector
format.In order to build a translator system that can be used Machine (SVM), the classification was completed.
by all platforms, including Android, a web service must be
created. Web service isa standard and a programming method In this paper, author developed an English to Igbo Language
for sharing data between several applications. Translation Natural Language Processing System in Android.

© 2024 IJSRET
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 International Journal of Scientific Research & Engineering Trends
Volume 10, Issue 3, May-June-2024, ISSN (Online): 2395-566X

The Design Word, Reference System, and Decoder were 1. Input and Analysis
performed in Microsoft Hub. When you input a sentence or text in the source language (the
language you’re translating from), the tool analyses its
In this paper, authors developed an Android-based program structure. It identifies grammar rules, word order, and
that could precisely translate the sign language transmitted in context.
written language by deaf voice. The conversion process starts
with the OpenCV hand recognition and the conversion of the 2. Translation Process
K-NN classification hand signals. In this program, the The tool then generates a translation based on the rules of the
demonstration functions were introduced to teach users target language (the language you’re translating to). It uses
intensively the use of sign language. algorithms to map words and phrases from the source
language to their equivalents in the target language. Advanced
The new English Text to Multilingual Speech Translator using tools incorporate contextual information to improve accuracy.
Android (T2MSTA) is designed to help people who lack the
power to talk or non-native speakers and individuals who do 3. Machine Learning and AI
not share a common dialectal. Many modern translators utilize machine learning and
artificial intelligence (AI). They learn from vast bilingual or
In this paper the author talks about Android Platform for multilingual text data, capturing nuances, syntax, and
Machine Translation -A Focus on Yorùbá Language. Which semantics. By detecting patterns, they predict how words
was developed on a mobile platform for easier accessibility, correspond across languages.
convenience, and portability? RST (Rough Set Theory) is the
mathematical tool used in decision support and data analysis 4. Real-Time Translation
of words or phrases to be translated. Contemporary tools can provide real-time translations. For
spoken language, they analyze waveforms, identify the
Base Paper Andriod language translator application: It is an original language, and generate instant translations in the
android based application where we will be implementing target language.
language translator which helps toursits, people who are dumb
and deaf and the people travelling between states in India. V. RESULT
III. PROBLEM STATEMENT
The following project is about language translator. As we
know that world is becoming more and more globalized their
arise various problems such as communication, as people in
different areas speak their native languages, it becomes
problematic for people from different areas or country to
communicate with them. Country like India where every state
has a different language, it becomes difficult for the
government to introduce their schemes to local people.

Therefore, to solve the problems and to prevent

miscommunication Language translators comes into act. Their
work is to translate one language into another and to provide VI. FUTURE SCOPE
an accurate meaning of what one wants to convey. Language
translators can translate the language through different means 1. The system can be further implemented by using the
weather it is in form of a document or it is the text in an image Machine Learning techniques for the voice recognizing
and through verbal ways where it hears from one person and other languages as well.
tells the translated output. 2. The System can be extended to implement scanning the
languages which are hand written and other scanned
IV. METHODOLOGY documents.

It includes the working of present day language translators. VII. CONCLUSION

These digital tools are designed to bridge language barriers,
enabling effective communication across different languages.  A good professional translator must possess the
Here’s how they function: characteristics of being prompt as well as keeping the

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 International Journal of Scientific Research & Engineering Trends
Volume 10, Issue 3, May-June-2024, ISSN (Online): 2395-566X

time constraints in mind when finishing the language

translation.
 Translation does not necessarily indicate the simple
exchange of one word with its equivalent in the target
language. The process is highly streamlined and the
translator must ensure that the entire document or text
reads smoothly after translation.
 If there are some parts of the text that do not read
properly in the target language even after proper
translation, the translator must alter the portion so that it
does not disrupt the flow of the language. It is important
for the translator to have the ability to render the true
meaning of the ideas presented by the author in the text
using the target language with as little deviation as
possible

Acknowledgement
The satisfactions that accompany the successful completion of
our project on “LANGUAGE TRANSLATOR TOOL” would
be incomplete without the mention of people who made it
possible, whose noble gesture, affection, guidance,
encouragement and support crowned our efforts with success.
It is our privilege to express gratitude and respect to all those
who inspired us in the completion of project. We are
extremely grateful to our respective Guide Mr. Eshank Jain
for his noble gesture, support co-ordination and valuable
suggestions given to us in completing the project. We also
thank Dr.Kumud Saxena, H.O.D. Department of CSE,for his
co-ordination and valuable suggestions given to us in
completing the project. We also thanks Director, Management
and non-teaching staff for their co-ordination and valuable
suggestions given to us in completing the project.

REFERENCES

1. Douglas Crockford, “JavaScript: the good parts”,

O’Reilly publications,2008.
2. Elizabeth Robson and Eric Freeman, “Head First HTML
and CSS”, O’Reilly publications,2012.
3. Jennifer Robbins, “Learning web design”, O’Reilly
publications, 2018.
4. IBM full stack software developer course.

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