A Semi-supervised Approach to Bengali-English Phrase-Based Statistical Machine Translation

Authors:
Maxim Roy
Affiliations:
Computing Science, Simon Fraser University, Burnaby, Canada V5A1S6
Venue:
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2009

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Abstract

Large amounts of bilingual data and monolingual data in the target language are usually used to train statistical machine translation systems. In this paper we propose several semi-supervised techniques within a Bengali English Phrase-based Statistical Machine Translation (SMT) System in order to improve translation quality. We conduct experiments on a Bengali-English dataset and our initial experimental results show improvement in translation quality.