Study on machine translation approaches for Indian languages and their challenges

Abstract

This survey mainly focuses on the developments of machine translation for the Indian languages. The survey throws a light on rule-based approach, empirical based approach and hybrid based approaches for machine translation. Every approach has its own advantages and disadvantages. Machine Translation (MT) is a process which translates from one language to another language. Due to rapid globalisation there is an increased data over the web machine translation plays a very important role to reduce the language barrier between different regions. In a country like India with 22 official languages shows a high attention for the translation. This paper focuses on the different MT systems for Indian languages and also their challenges.

1 Figure or Table

Cite this paper

@article{Sindhu2016StudyOM, title={Study on machine translation approaches for Indian languages and their challenges}, author={Divya Sindhu and B. M. Sagar}, journal={2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT)}, year={2016}, pages={262-267} }