Correction of Errors in a Modality Corpus Used for Machine Translation by Using Machine-learning Method

نویسندگان

  • Masaki Murata
  • Masao Utiyama
  • Kiyotaka Uchimoto
  • Qing Ma
  • Hitoshi Isahara
چکیده

We performed corpus correction on a modality corpus for machine translation by using such machine-learning methods as the maximum-entropy method. We thus constructed a high-quality modality corpus based on corpus correction. We compared several kinds of methods for corpus correction in our experiments and developed a good method for corpus correction.

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عنوان ژورنال:
  • CoRR

دوره cs.CL/0105001  شماره 

صفحات  -

تاریخ انتشار 2001