Paper: Word Sense Disambiguation Improves Statistical Machine Translation

ACL ID P07-1005
Title Word Sense Disambiguation Improves Statistical Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

Recent research presents conflicting evi- dence on whether word sense disambigua- tion (WSD) systems can help to improve the performance of statistical machine transla- tion (MT) systems. In this paper, we suc- cessfully 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 sys- tem improves the performance of a state-of- the-art statistical MT system on an actual translation task. Furthermore, the improve- ment is statistically significant.