A Matching Technique in Example-Based Machine Translation

Details A Matching Technique in Example-Based Machine Translation A Matching Technique in Example-Based Machine Translation

1995-08-10

arxiv.org/abs/cmp-lg/9508005v1

Computer Science

Computation and Language

5 pages,LaTeX uses aclap.sty

Scientific paper

This paper addresses an important problem in Example-Based Machine Translation (EBMT), namely how to measure similarity between a sentence fragment and a set of stored examples. A new method is proposed that measures similarity according to both surface structure and content. A second contribution is the use of clustering to make retrieval of the best matching example from the database more efficient. Results on a large number of test cases from the CELEX database are presented.

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