Phrasetable smoothing for statistical machine translation

  • Authors:
  • George Foster;Roland Kuhn;Howard Johnson

  • Affiliations:
  • National Research Council Canada, Ottawa, Ontario, Canada;National Research Council Canada, Ottawa, Ontario, Canada;National Research Council Canada, Ottawa, Ontario, Canada

  • Venue:
  • EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
  • Year:
  • 2006

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Abstract

We discuss different strategies for smoothing the phrasetable in Statistical MT, and give results over a range of translation settings. We show that any type of smoothing is a better idea than the relative-frequency estimates that are often used. The best smoothing techniques yield consistent gains of approximately 1% (absolute) according to the BLEU metric.