
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
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 16 Issue 2
2025
Indexing Partners



















Ai-enabled natural language processing solutions for multimodal translation
Author(s) | S.Siddhartha, T.Arun Kumar, U.Purna Sudhakar, Dr.R.Sudhakar, Dr.V.Sai Shanmuga Raja |
---|---|
Country | India |
Abstract | The rapid advancement of artificial intelligence (AI) and natural language processing (NLP) has significantly transformed how we interact with technology, particularly in the domain of language translation. The growing demand for real-time, accurate, and context-aware translation across various communication modes (text, speech, and visual) has fueled the development of multimodal translation applications. This project explores the integration of AI-enabled NLP solutions for a multimodal translation application, capable of processing input from multiple sources, including audio, text, and images, to provide seamless translation across different languages. |
Keywords | AutoML, Natural Language API, Healthcare Natural Language AI. |
Field | Engineering |
Published In | Volume 16, Issue 2, April-June 2025 |
Published On | 2025-04-03 |
Cite This | Ai-enabled natural language processing solutions for multimodal translation - S.Siddhartha, T.Arun Kumar, U.Purna Sudhakar, Dr.R.Sudhakar, Dr.V.Sai Shanmuga Raja - IJSAT Volume 16, Issue 2, April-June 2025. |
Share this


CrossRef DOI is assigned to each research paper published in our journal.
IJSAT DOI prefix is
10.71097/IJSAT
Downloads
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.
