BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
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We apply several word reordering techniques to a Bangla-English Statistical Machine Translation (SMT) system We evaluate the approaches through their impact on the BLEU score for the phrase-based Bangla-English SMT system According to the experimental results, automatic reordering rules have the most significant impact on the BLEU score We also provide a new test set with multiple references between Bangla and English for SMT evaluation purposes and evaluate the reordering approaches on the extended test set.