The RWTH machine translation system for IWSLT 2007

نویسندگان

  • Arne Mauser
  • David Vilar
  • Gregor Leusch
  • Yuqi Zhang
  • Hermann Ney
چکیده

The RWTH system for the IWSLT 2007 evaluation is a combination of several statistical machine translation systems. The combination includes Phrase-Based models, a n-gram translation model and a hierarchical phrase model. We describe the individual systems and the method that was used for combining the system outputs. Compared to our 2006 system, we newly introduce a hierarchical phrase-based translation model and show improvements in system combination for Machine Translation. RWTH participated in the Italian-to-English and Chinese-to-English translation directions.

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تاریخ انتشار 2007