AI BASED LANGUAGE TRANSLATOR

Authors

  • 1T Manasa, 2 U Keerthana, 3 V Rakesh, 4 Mena Kiran, 5 T Kalyani Devi Author

DOI:

https://doi.org/10.62643/

Abstract

The AI-Based Language Translator is an intelligent system designed to overcome language barriers by providing fast, accurate, and convenient translation between multiple languages. Communication across different languages can be challenging in education, business, travel, healthcare, and everyday interactions. Traditional translation methods may require human translators or separate translation tools, which can be time-consuming and difficult to access. The proposed system uses Artificial Intelligence, Natural Language Processing (NLP), and Machine Learning techniques to understand and translate text from one language into another. The system allows users to enter or provide text in a selected source language and choose a target language for translation. The input text is processed using NLP techniques to understand words, phrases, sentence structure, and contextual meaning before generating the translated output. The system can support multiple languages and provide translations through a simple and user-friendly interface. Additional features such as language detection, text-to-speech, speech-to-text, and translation history can also be integrated to improve accessibility and usability. The main objective of the proposed system is to provide an efficient and intelligent translation solution that can assist users in communicating across different languages. By applying AI-based language processing techniques, the system aims to improve translation quality while reducing the time and effort required for manual translation. Overall, the AI-Based Language Translator provides a centralized platform for multilingual communication and can be further enhanced to support more languages, voice translation, real-time conversation, and context-aware translation.

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Published

04-09-2026

How to Cite

AI BASED LANGUAGE TRANSLATOR. (2026). International Journal of Engineering Research and Science & Technology, 22(3), 1400-1407. https://doi.org/10.62643/