Language Translation Application based on Machine learning

Eileen  Maria Tom; Marita J  Neerakan; Rajesh  Kanna R; KAWTHAR Ali

Authors

Eileen Maria Tom Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
Marita J Neerakan Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
Rajesh Kanna R Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
KAWTHAR Ali Faculty of Computer science and Information Technology - Omdurman Islamic University

Abstract

Langage barriers present a significant challenge in education, particularly in diverse classrooms where

students and teachers speak different languages. Artificial Intelligence (AI) offers promising solutions through advanced language translation systems that can deliver fast and accurate translations, enabling students to grasp lessons regardless of language differences. However, current translation tools face limitations, such as difficulties with real-time processing, contextual understanding, and maintaining linguistic nuances. This book chapter delves into the transformative role of AI in education, focusing on the development and deployment of machine learning-powered translation technologies. It examines how integrating AI-driven solutions can enhance learning experiences, promote inclusivity, and overcome linguistic obstacles. By improving translation accuracy and adaptability, educational systems can become more accessible and equitable, fostering a global learning environment that supports students from diverse cultural and linguistic backgrounds.