LIUM's SMT machine translation systems for WMT 2012

  • Authors:
  • Christophe Servan;Patrik Lambert;Anthony Rousseau;Holger Schwenk;Loïc Barrault

  • Affiliations:
  • University of Le Mans, Le Mans cedex, France;University of Le Mans, Le Mans cedex, France;University of Le Mans, Le Mans cedex, France;University of Le Mans, Le Mans cedex, France;University of Le Mans, Le Mans cedex, France

  • Venue:
  • WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
  • Year:
  • 2012

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Abstract

This paper describes the development of French--English and English--French statistical machine translation systems for the 2012 WMT shared task evaluation. We developed phrase-based systems based on the Moses decoder, trained on the provided data only. Additionally, new features this year included improved language and translation model adaptation using the cross-entropy score for the corpus selection.