Automatic aquisition of semantic attributes for user defined words in Japanese to English machine translation

  • Authors:
  • Satoru Ikehara;Satoshi Shirai;Akio Yokoo;Francis Bond;Yoshie Omi

  • Affiliations:
  • NTT Communication Science Laboratories, Take, Yokosuka-shi, Kanagawa, Japan;NTT Communication Science Laboratories, Take, Yokosuka-shi, Kanagawa, Japan;NTT Communication Science Laboratories, Take, Yokosuka-shi, Kanagawa, Japan;NTT Communication Science Laboratories, Take, Yokosuka-shi, Kanagawa, Japan;NTT Advanced Technology Corporation, Kawakami-cho, Totsuka-ku Yokohama-shi, Kanagawa, Japan

  • Venue:
  • ANLC '94 Proceedings of the fourth conference on Applied natural language processing
  • Year:
  • 1994

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Abstract

This paper proposes a method that automatically acquires the SAs (semantic attributes) of user defined words. Applying this method to the compilation of a user dictionary targeting newspaper article sentences and sentences of software design documents has revealed that the automatically determined SAs include 50 to 80% of the correct attributes. Translation experiments confirmed that the automatically acquired SAs improved translation quality by 6-13%.