Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41613
Title: Word sense disambiguation improves statistical machine translation
Authors: Chan, Y.S. 
Ng, H.T. 
Chiang, D.
Issue Date: 2007
Source: 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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