Example-based paraphrasing for improved phrase-based statistical machine translation

  • Authors:
  • Aurélien Max

  • Affiliations:
  • LIMSI-CNRS & Univ. Paris Sud, Orsay, France

  • Venue:
  • EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
  • Year:
  • 2010

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Abstract

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