SRM INSTITUTE OF SCIENCE & TECHNOLOGY
APP PROJECT
Title - Language Translator
Team member (Batch no. 1)
Himaani Srivatsava (RA2211003020181)
Rishita Gangrade (RA2211003020165)
Riya Paul (RA2211003020189)
ABSTRACT
The development of technology connects everyone from different parts of the
world. The problem is that people can't actually understand each other
because they have problems communicating . Some problems are related to
communicating with foreign passengers, disabled people, friends from
different countries on social media and international business partners. This
device was invented to solve this whole problem that people face in today's
life. Translation is a medium for conveying knowledge and information. It
can be a bridge that connects people with different languages and cultures.
Through translation, people can learn and understand each other's language
and culture. Translation is not just about changing words, it is also about
conveying as much as possible the culture of the original language and its
cultural equivalence with the recipient of that language.
A better translation needs to be logically factual and acceptable to all.
Therefore, the message contained in the source language can satisfy readers
in the target language. Translation is necessary to spread new information,
knowledge, and ideas around the world. Achieving effective communication
between parties of different cultures is essential .Translation can change
history as new information is disseminated. Innovations in language
translation allow speakers of different languages to communicate anything.
Therefore, it is of great importance to humanity from the point of view of
science, cross-cultural exchange, and world trade. Therefore, we have
proposed a project to bridge this language barrier. This project was initiated
to break the language barrier, to reduce the disconnect between people
around the world, connect people, get maximum profit and provide job
opportunities.
Design (ER design and Front end design)
OBJECTIVE
To ensure effective communication between people around the world.
To provide the ability for two parties to communicate and exchange their
ideas.
To encourage learners to discuss their ideas eloquently in their target
language.
To perform and translate our native language.
To encourage the lexical usage of advanced proficiency in the target
language by the learners
BLOCK DAIGRAM: LANGUAGE TRANSLATOR
PROBLEM IN EXISTING SYSTEM
1. Projects implemented till date are all
concentrated on providing the application which
uses the network
2.the translated texts are recorded in the webpage
history
PROPOSED SYSTEM
1. we have come up with a project which
provides complete working modules
(doesn't depend on internet connection )
2.extends user privacy :doesn’t require
logging into the app or accessing the
external web pages available online.
RESULT
Python code
Python output
Java methodology:
Code implementation sni:
Maven dependency that is used:
Java output
CONCLUSION
Our Language Translator project serves as a valuable tool for facilitating
cross-cultural communication. It enables users to overcome language barriers,
fostering understanding and collaboration. Its potential impact on accessibility
and global reach makes it a valuable addition to any project with diverse
audiences or international scope. Its versatility and accessibility make it a
valuable asset for individuals, businesses, and communities worldwide. As
technology advances, these apps continue to evolve, promising even greater
efficiency and accuracy in translation services.
Translation is not merely at changing words, but also transferring cultural
equivalence with the culture of the original language and the recipient of that
language as well as possible. The better translation must be accepted by all people in
logic and based on fact; thus, the message which is contained in the source language
(SL) can satisfy the target language (TL) reader with the information within. When
you understand the importance of translation for everyone, you will be able to see it as
a necessary and worthy investment.
Multilingual speech to speech translation is one of the most serious problems inherent in
globalization. The demand for trans-lingual conversations, triggered by ITs technologies has
boosted research activities on Speech to speech technology. Our project provides a way to
overcome this problem by translating speech from one language to another in an efficient
manner.
References
● Sireesh Haang Limbu, “Direct Speech to Speech Translation Using Machine
Learning”, December 2020.
● S. Venkateswarlu, D. B. K. Kamesh , J. K. R. Sastry and Radhika Rani, “ Text to
Speech Conversion”, 23 September 2020.
● Chris Piech, Sami Abu-El-Haija, “Auto-Translation for Localized Instruction”,
Sep 2019
● Sagar Patil, Mayuri Phonde, Siddharth Prajapati , “Multilingual Speech and
Text Recognition and Translation using Image”, April-2020
● Rithika.H 1 , B.Nithya Santhoshi,“Image Text To Speech Conversion In The Desired
Language By Translating With Raspberry Pi” in 2016 IEEE International Conference
on Computational Intelligence and Computing Research.
● Liang Gu, Member, IEEE, Yuqing Gao, Fu-Hua Liu, and Michael Picheny, Fellow,
IEEE,“Concept-Based Speech To-Speech Translation Using Maximum Entropy Models
for Statistical Natural Concept Generation” in IEEE TRANSACTIONS ON AUDIO,
SPEECH, AND LANGUAGE PROCESSING, VOL. 14, NO. 2, MARCH 2006.
● Asim Smailagic, Dan Siewiorek, Richard Martin, Denis Reilly, “CMU Wearable
Computers for Real - Time Speech Translation”.
THANK YOU