Generation of word graphs in statistical machine translation

  • Authors:
  • Nicola Ueffing;Franz Josef Och;Hermann Ney

  • Affiliations:
  • RWTH Aachen - University of Technology, Aachen, Germany;RWTH Aachen - University of Technology, Aachen, Germany;RWTH Aachen - University of Technology, Aachen, Germany

  • Venue:
  • EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
  • Year:
  • 2002

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Abstract

Statistical machine translation systems usually compute the single sentence that has the highest probability according to the models that are trained on data. We describe a method for constructing a word graph to represent alternative hypotheses in an efficient way. The advantage is that these hypotheses can be rescored using a refined language or translation model. Results are presented on the German-English Verbmobil corpus.