Modeling machine transliteration as a phrase based statistical machine translation problem

Authors:
Taraka Rama;Karthik Gali
Affiliations:
Language Technologies Research Centre, IIIT, Hyderabad, India;Language Technologies Research Centre, IIIT, Hyderabad, India
Venue:
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
Year:
2009

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Abstract

In this paper we use the popular phrase-based SMT techniques for the task of machine transliteration, for English-Hindi language pair. Minimum error rate training has been used to learn the model weights. We have achieved an accuracy of 46.3% on the test set. Our results show these techniques can be successfully used for the task of machine transliteration.