Year: 2025
Type: article
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.
Authors: S.Siddhartha -, T.Arun Kumar -, U.Purna Sudhakar -, Dr.R.Sudhakar -, Dr.V.Sai Shanmuga Raja -
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409277452