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ACL
2007

Word Sense Disambiguation Improves Statistical Machine Translation

9 years 1 months ago
Word Sense Disambiguation Improves Statistical Machine Translation
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-ofthe-art statistical MT system on an actual translation task. Furthermore, the improvement is statistically significant.
Yee Seng Chan, Hwee Tou Ng, David Chiang
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ACL
Authors Yee Seng Chan, Hwee Tou Ng, David Chiang
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