of MT Summit XV

نویسندگان

  • Yuki Arase
  • Andreas Eisele
  • Daniel Marcu
  • Dongdong Zhang
  • Masaru Fuji
  • Atsushi Fujita
  • Masao Utiyama
  • Eiichiro Sumita
  • Yuji Matsumoto
  • Isao Goto
  • Hideki Tanaka
  • Tadashi Kumano
  • Chaochao Wang
  • Deyi Xiong
  • Min Zhang
  • Zied Elloumi
  • Hervé Blanchon
  • Gilles Sérasset
  • Nizar Habash
چکیده

Patent claim sentences, despite their legal importance in patent documents, still pose difficul-ties for state-of-the-art statistical machine translation (SMT) systems owing to their extremelengths and their special sentence structure. This paper describes a method for improving thetranslation quality of claim sentences, by taking into account the features specific to the claimsublanguage. Our method overcomes the issue of special sentence structure, by transferringthe sublanguage-specific sentence structure (SSSS) from the source language to the targetlanguage, using a set of synchronous context-free grammar rules. Our method also overcomesthe issue of extreme lengths by taking the sentence components to be the processing unit forSMT. The results of an experiment demonstrate that our SSSS transfer method, used in con-junction with pre-ordering, significantly improves the translation quality in terms of BLEUscores by five points, in both English-to-Japanese and Japanese-to-English directions. Theexperiment also shows that the SSSS transfer method significantly improves structural ap-propriateness in the translated sentences in both translation directions, which is indicated bysubstantial gains over 30 points in RIBES scores.

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تاریخ انتشار 2015