A semi-supervised approach to bengali-english phrase-based statistical machine translation

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. © 2009 Springer Berlin Heidelberg.