International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 2
2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Language Sphere: Next-Gen Language Translation Using ML

Author(s) Gummadi Anjali Sr Rajya Lakshmi, Dasam Uma, Dr. M. Ravi Kumar
Country India
Abstract Language translation has become more important in today's technical world,effective communication is essential for advanced international collaboration. This study addresses the challenges of achieving accurate and efficient translations between these two widely spoken languages, focusing on linguistic and cultural differences. The proposed translation model employs state-of-the-art neural machine translation techniques, integrating advanced tokenization and context-aware algorithms to enhance precision and fluency. Special attention is given to maintain the language's original meaning, tone, and context in the translated output.The system is designed to handle complex linguistic constructs,including idiomatic expressions,grammatical variations,and domain-specific vocabulary, making it flexible across multiple uses. Performance evaluation includes accurate testing with diverse datasets to ensure reliability and robustness. The results demonstrate high-quality translations that meet the standards for various fields like-education, business communication,medical use and cross-cultural interactions etc,. This research highlights the potential of advanced machine learning approaches to brake the language barriers and smooth seamless communication in multilingual environments.
Keywords Machine Learning, GUI, Tensor-flow, Keras, Sequence-to-Sequence, NMT, One hot encoding, LSTM..
Field Engineering
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-14
Cite This Language Sphere: Next-Gen Language Translation Using ML - Gummadi Anjali Sr Rajya Lakshmi, Dasam Uma, Dr. M. Ravi Kumar - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3645
DOI https://doi.org/10.71097/IJSAT.v16.i2.3645
Short DOI https://doi.org/g9fmwx
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4Cover Page Vol 15 Isu 3Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org