Importance of different Machine Translation Systems for Indian Languages using Deep Learning Methodology

Ritika Goyal
(2023) Vol. 01, No. 01, pp. 135-146


This paper describes the importance of different machine translation systems and status
of languages used in a multilingual country like India. Machine Translation (MT) is a field of
research that has been around since the birth of computers. Processing any translation whether
machine or human translation, the description of text in the source language must be completely
changed or transformed into the target language. In India, there is a considerable need for
translating text from one language to another. There are many approaches for translating the
text from one language into another. A lot of research projects are going on machine
translation systems using Deep Learning Techniques between English and Indian
Languages. Neural Machine Translation (NMT) is a new technique for machine translation that has led to
remarkable improvements compared to rule-based and statistical machine translation (SMT) techniques,
by overcoming many of the weaknesses in the conventional techniques. MT is the most difficult
research work in the field Natural Language Processing (NLP) in the whole world. In the
period of Artificial Intelligence, computers with ability of Deep Learning will make translation
with better quality and high efficiency.

Keywords: Machine Translation, Deep Learning, NLP, Artificial Intelligence