LIMSI's statistical translation systems for WMT'09

  • Authors:
  • Alexandre Allauzen;Josep Crego;Aurélien Max;François Yvon

  • Affiliations:
  • LIMSI/CNRS and Université Paris-Sud, France, Orsay Cédex;LIMSI/CNRS and Université Paris-Sud, France, Orsay Cédex;LIMSI/CNRS and Université Paris-Sud, France, Orsay Cédex;LIMSI/CNRS and Université Paris-Sud, France, Orsay Cédex

  • Venue:
  • StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
  • Year:
  • 2009

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Abstract

This paper describes our Statistical Machine Translation systems for the WMT09 (en:fr) shared task. For this evaluation, we have developed four systems, using two different MT Toolkits: our primary submission, in both directions, is based on Moses, boosted with contextual information on phrases, and is contrasted with a conventional Moses-based system. Additional contrasts are based on the Ncode toolkit, one of which uses (part of) the English/French GigaWord parallel corpus.