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A Transfer System Using Example-Based Approach
Hideo WATANABE Hiroshi MARUYAMA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1994/02/25
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Natural Language Processing and Understanding)
machine translation, example-based approach,
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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.