EBMT by tree-phrasing

  • Authors:
  • Philippe Langlais;Fabrizio Gotti

  • Affiliations:
  • RALI-DIRO, Université de Montréal, Montréal, Canada H3C 3J7;RALI-DIRO, Université de Montréal, Montréal, Canada H3C 3J7

  • Venue:
  • Machine Translation
  • Year:
  • 2006

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Abstract

This article presents an attempt to build a repository storing associations between simple syntactic dependency treelets in a source language and their corresponding phrases in a target language. We assess the usefulness of this resource in two different settings. First, we show that it improves upon a standard subsentential translation memory. Second, we observe improvements in translation quality when a standard statistical phrase-based translation engine is augmented with the ability to exploit such a repository.