cm p - lg / 9 50 80 05 10 A ug 1 99 5 A MATCHING TECHNIQUE IN EXAMPLE - BASEDMACHINE
نویسندگان
چکیده
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 eecient. Results on a large number of test cases from the CELEX database are presented.
منابع مشابه
ar X iv : a lg - g eo m / 9 60 80 25 v 1 2 2 A ug 1 99 6 COUNTING PLANE CURVES OF ANY GENUS
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