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Translator knowledge base for machine translation systems

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Machine Translation

Abstract

This paper presents a new method for utilizing translator knowledge bases for machine translation systems. Translator knowledge to be stored and utilized consists of ‘translationally equivalent pattern pairs’: surface-level phrasal, clausal, and sentential correspondences between the source and target languages. This knowledge will be utilized to translate domain-specific idiomatic, nonstandard, or ungrammatical expressions. The proposed method has been implemented in an adaptive English to Japanese machine translation system, HICATS/EJ, as one of its customization facilities.

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Authors and Affiliations

  1. Systems Development Laboratory, Hitachi, Ltd., 1099 Ohzenji, Asao-ku, 215, Kawasaki, Japan

    Zenshiro Kawasaki & Fumiyuki Yamano

  2. Software Works, Hitachi, Ltd., 5030 Totsuka-cho, Totsuka-ku, 244, Yokohama, Japan

    Noriyuki Yamasaki

Authors
  1. Zenshiro Kawasaki
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  2. Fumiyuki Yamano
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  3. Noriyuki Yamasaki
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Kawasaki, Z., Yamano, F. & Yamasaki, N. Translator knowledge base for machine translation systems. Mach Translat 6, 265–278 (1991). https://doi.org/10.1007/BF00417652

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  • DOI: https://doi.org/10.1007/BF00417652

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