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AI-Powered Language Translation and Interpretation

Author(s):

Arusula Vijay Sai Yadav , MLR institute of technology; Kalava Kanaka Lakshmi, MLR institute of technology; Nallamilli Venkata Satya Abhi Madhav, MLR institute of technology; Aluguvelli Kiran Kumar Reddy, MLR institute of technology

Keywords:

Translation, Interpretation System, Google API, Text Translation, Speech Recognition, Document Translation, User-Friendly Interface

Abstract

This paper presents an advanced AI-relying system of language interpretation and translation that has several characteristics to satisfy different communication needs. The system is capable of interpreting text and spoken words of any language or translate from one language to another and vice versa. Also, it superbly recognizes texts from images and videos, making it possible to support multiple language communication in various fields. Thus, voice translation from videos enhances the usefulness of the system for multimedia materials; document translation features enhance productivity and text processing quality. Utilizing only the sophisticated technologies such as the speech recognition, image processing, and the neural machine translation the system promises accurate translation across different modes. The essence of the depicted solution implies strong backend foundations with a plethora of useful features, as well as improved and easy-to-use interfaces. Testing is another technique employed with the aim of assessing the system's efficacy; it reveals system efficiency as to how accurate, fluent and versatile it is. Thus, this research effectively contributes to the elimination of language barriers and the development of multicultural communication in the context of globalization.

Other Details

Paper ID: IJSRDV12I60037
Published in: Volume : 12, Issue : 6
Publication Date: 01/09/2024
Page(s): 63-69

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