A Matching Technique in Example-Based Machine Translation

dc.creatorCranias, Lambros
dc.creatorPapageorgiou, Harris
dc.creatorPiperidis, Stelios
dc.date1995-08-10
dc.date.accessioned2026-07-07T09:09:58Z
dc.date.available2026-07-07T09:09:58Z
dc.descriptionThis 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.
dc.description5 pages,LaTeX uses aclap.sty
dc.identifierhttps://arxiv.org/abs/cmp-lg/9508005
dc.identifierhttp://arxiv.org/abs/cmp-lg/9508005
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151226
dc.subjectComputation and Language
dc.titleA Matching Technique in Example-Based Machine Translation
dc.typetext

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