A similarity-driven transfer system

  • Authors:
  • Hideo Watanabe

  • Affiliations:
  • Tokyo Research Laboratory, Tokyo, Japan

  • Venue:
  • COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
  • Year:
  • 1992

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Abstract

The transfer phase in machine translation (MT) systems has been considered to be more complicated than analysis and generation, since it is inherently a conglomeration of individual lexical rules. Currently some attempts are being made to use case-based reasoning in machine translation, that is, to make decisions on the basis of translation examples at appropriate points in MT. This paper proposes a new type of transfer system, called a Similarity-driven Transfer System (Sim Tran), for use in such case-based MT (CBMT).