LIUM's SMT machine translation systems for WMT 2011

  • Authors:
  • Holger Schwenk;Patrik Lambert;Loïc Barrault;Christophe Servan;Haithem Afli;Sadaf Abdul-Rauf;Kashif Shah

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

  • Venue:
  • WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
  • Year:
  • 2011

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Abstract

This paper describes the development of French--English and English--French statistical machine translation systems for the 2011 WMT shared task evaluation. Our main systems were standard phrase-based statistical systems based on the Moses decoder, trained on the provided data only, but we also performed initial experiments with hierarchical systems. Additional, new features this year include improved translation model adaptation using monolingual data, a continuous space language model and the treatment of unknown words.