The ISL Phrase-Based MT System for the 2007 ACL Workshop on Statistical Machine Translation

نویسندگان

  • Matthias Paulik
  • Kay Rottmann
  • Jan Niehues
  • Silja Hildebrand
  • Stephan Vogel
چکیده

In this paper we describe the Interactive Systems Laboratories (ISL) phrase-based machine translation system used in the shared task ”Machine Translation for European Languages” of the ACL 2007 Workshop on Statistical Machine Translation. We present results for a system combination of the ISL syntax-augmented MT system and the ISL phrase-based system by combining and rescoring the n-best lists of the two systems. We also investigate the combination of two of our phrase-based systems translating from different source languages, namely Spanish and German, into their common target language, English.

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تاریخ انتشار 2007