TY  - JOUR
AU  - Dwivedi, Sanjay Kumar 
AU  - Sukhadeve, Pramod Premdas 
PY  - 2010
TI  - Machine Translation System in Indian Perspectives
JF  - Journal of Computer Science
VL  - 6
IS  - 10
DO  - 10.3844/jcssp.2010.1111.1116
UR  - https://thescipub.com/abstract/jcssp.2010.1111.1116
AB  - Problem statement: In a large multilingual society like India, there is a great demand for translation of documents from one language to another language. Approach: Most of the state government works in there provincial languages, whereas the central government’s official documents and reports are in English and Hindi. Results: In order to have an appropriate communication there is a need to translate these documents and reports in the respective provincial languages. Natural Language Processing (NLP) and Machine Translation (MT) tools are upcoming areas of study the field of computational linguistics. Machine translation is the application of computers to the translation of texts from one natural language into another natural language. It is an important sub-discipline of the wider field of artificial intelligence. Conclusion/Recommendations: There are certain machine translation systems that have been developed in India for translation from English to Indian languages by using different approaches. It is this perspective with which we shall broach this study, launching our theme with a brief on the machine translation systems scenario in India through data and previous research on machine translation.