A Transfer System Using Example-Based Approach (Special Issue on Natural Language Processing and Understanding)

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概要

• 論文の詳細を見る

• This paper proposes a new type of transfer system, called Similarity-driven Transfer System (or SimTran), which uses an example-based approach to the transfer phase of MT. In this paper, we describe a method for calculating similarity, a method for searching the most appropriate set of translation rules, and a method for constructing an output structure from those selected rules. Further, we show that SimTran can use not only translation examples but also syntax-based translation rules used in conventional transfer systems at the same time.

• 一般社団法人電子情報通信学会の論文
• 1994-02-25

著者

• Maruyama Hiroshi

  Ibm Research Tokyo Research Laboratory

• Watanabe Hideo

  IBM Research, Tokyo Research Laboratory

関連論文

• A New kth-Shortest Path Algorithm
• A Transfer System Using Example-Based Approach (Special Issue on Natural Language Processing and Understanding)

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