The LIG machine translation system for WMT 2010

  • Authors:
  • Marion Potet;Laurent Besacier;Hervé Blanchon

  • Affiliations:
  • University Joseph Fourier, Grenoble, France;University Joseph Fourier, Grenoble, France;University Joseph Fourier, Grenoble, France

  • Venue:
  • WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
  • Year:
  • 2010

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Abstract

This paper describes the system submitted by the Laboratory of Informatics of Grenoble (LIG) for the fifth Workshop on Statistical Machine Translation. We participated to the news shared translation task for the French-English language pair. We investigated differents techniques to simply deal with Out-Of-Vocabulary words in a statistical phrase-based machine translation system and analyze their impact on translation quality. The final submission is a combination between a standard phrase-based system using the Moses decoder, with appropriate setups and pre-processing, and a lemmatized system to deal with Out-Of-Vocabulary conjugated verbs.