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|Title:||Word sense disambiguation improves statistical machine translation||Authors:||Chan, Y.S.
|Issue Date:||2007||Citation:||Chan, Y.S.,Ng, H.T.,Chiang, D. (2007). Word sense disambiguation improves statistical machine translation. ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics : 33-40. ScholarBank@NUS Repository.||Abstract:||Recent research presents conflicting evidence on whether word sense disambiguation (WSD) systems can help to improve the performance of statistical machine translation (MT) systems. In this paper, we successfully integrate a state-of-the-art WSD system into a state-of-the-art hierarchical phrase-based MT system, Hiero. We show for the first time that integrating a WSD system improves the performance of a state-of-the-art statistical MT system on an actual translation task. Furthermore, the improvement is statistically significant. © 2007 Association for Computational Linguistics.||Source Title:||ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics||URI:||http://scholarbank.nus.edu.sg/handle/10635/41613||ISBN:||9781932432862|
|Appears in Collections:||Staff Publications|
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