Machine Translation status in India: an experimental analysis of question paper translation
Article No.: 44, Pages 1 - 7
Abstract
In a country like India where 22 languages are constitutionally accepted presents a language barrier among people. For better communication, a number of Machine Translation systems between a variety of language pairs have been developed, many of these systems are domain specific. These researches have though helped in reducing the language barrier to some extent, a lot more research needs to be done to develop MT systems in a number of unexplored and emerging domains. This paper first takes an overview of the status of MT systems in India across domains and language pairs and then discusses the requirement of an MT system for an unexplored domain i.e. question paper translation. We performed an experimental analysis of translation of a set of 100 questions (taken from various sources) from English to Hindi using three popular MT systems (Google translator, Bing and SDL translator). Our test results using BLEU metric show that translation accuracy of these systems is poor. The results clearly emphasize the need of suitable MT system for domain specific translations such as question paper translation.
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- Machine Translation status in India: an experimental analysis of question paper translation
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Published In
November 2014
559 pages
ISBN:9781450332163
DOI:10.1145/2677855
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- Computer Society of India: Computer Society of India
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Association for Computing Machinery
New York, NY, United States
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Published: 27 October 2014
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ICTCS '14
ICTCS '14: International Conference on Information and Communication Technology for Competitive Strategies
November 14 - 16, 2014
Rajasthan, Udaipur, India
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ICTCS '14 Paper Acceptance Rate 97 of 270 submissions, 36%;
Overall Acceptance Rate 97 of 270 submissions, 36%
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