Paper: Example-Based Paraphrasing for Improved Phrase-Based Statistical Machine Translation

ACL ID D10-1064
Title Example-Based Paraphrasing for Improved Phrase-Based Statistical Machine Translation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2010
Authors

In this article, an original view on how to improve phrase translation estimates is pro- posed. This proposal is grounded on two main ideas: first, that appropriate examples of a given phrase should participate more in build- ing its translation distribution; second, that paraphrases can be used to better estimate this distribution. Initial experiments provide ev- idence of the potential of our approach and its implementation for effectively improving translation performance.