The RWTH Aachen machine translation system for WMT 2011

  • Authors:
  • Matthias Huck;Joern Wuebker;Christoph Schmidt;Markus Freitag;Stephan Peitz;Daniel Stein;Arnaud Dagnelies;Saab Mansour;Gregor Leusch;Hermann Ney

  • Affiliations:
  • RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany

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

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Abstract

This paper describes the statistical machine translation (SMT) systems developed by RWTH Aachen University for the translation task of the EMNLP 2011 Sixth Workshop on Statistical Machine Translation. Both phrase-based and hierarchical SMT systems were trained for the constrained German-English and French-English tasks in all directions. Experiments were conducted to compare different training data sets, training methods and optimization criteria, as well as additional models on dependency structure and phrase reordering. Further, we applied a system combination technique to create a consensus hypothesis from several different systems.