Abstract​

This paper presents the development of a Machine Translation (MT) system to convert English texts into various Indian regional languages. With a focus on Neural Machine Translation (NMT) models such as MarianMT, we explore the technical roadmap for implementing translation tools using natural language processing (NLP). The article details the design, architecture, implementation, and evaluation of the translation system. The study also provides code implementations, discusses performance indicators, and outlines future improvements.