SMT and SPE machine translation systems for WMT'09

  • Authors:
  • Holger Schwenk;Sadaf Abdul-Rauf;Loïc Barrault;Jean Senellart

  • Affiliations:
  • University of Le Mans, France;University of Le Mans, France;University of Le Mans, France;SYSTRAN SA, Paris La Défense cedex, France

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

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes the development of several machine translation systems for the 2009 WMT shared task evaluation. We only consider the translation between French and English. We describe a statistical system based on the Moses decoder and a statistical post-editing system using SYSTRAN's rule-based system. We also investigated techniques to automatically extract additional bilingual texts from comparable corpora.