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. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Roy, M., & Popowich, F. (2010). Word reordering approaches for Bangla-English statistical machine translation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6085 LNAI, pp. 282–285). https://doi.org/10.1007/978-3-642-13059-5_29
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