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Generating bilingual lexical equivalences from parallel texts

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dc.contributor.author Boutsis, S en
dc.contributor.author Piperidis, S en
dc.contributor.author Demiros, I en
dc.date.accessioned 2014-03-01T01:48:53Z
dc.date.available 2014-03-01T01:48:53Z
dc.date.issued 1999 en
dc.identifier.issn 0883-9514 en
dc.identifier.uri http://hdl.handle.net/123456789/25627
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.classification Engineering, Electrical & Electronic en
dc.title Generating bilingual lexical equivalences from parallel texts en
heal.type journalArticle en
heal.language English en
heal.publicationDate 1999 en
heal.abstract This paper describes the application of artificial intelligence methods fort the automatic extraction of translation equivalences from bilingual parallel texts. In an attempt to implement as language independent a method as possible, the application's methodology features statistical inductive techniques coupled with symbolic processing techniques catering for the analysis of specific language phenomena. The method presupposes parallel texts and identifies translational equivalences at the word or multiword unit level for. those cases that such an equivalence holds the. Pal allel texts are first st aligned at the sentence level and grammatically analyzed. Noun phr ase grammars extract noun phrases, and statistical evaluation yields the most coherent multiword units on either side. Translation candidates of word ol multiword units are evaluated by a similarity metric defined by the co-occurrence frequency and independent frequencies of the units. The method has been tested on an English-Greek corpus consisting of texts relevant to software systems, yielding similar to 94% accurate translations. en
heal.publisher TAYLOR & FRANCIS INC en
heal.journalName APPLIED ARTIFICIAL INTELLIGENCE en
dc.identifier.isi ISI:000082008100002 en
dc.identifier.volume 13 en
dc.identifier.issue 6 en
dc.identifier.spage 583 en
dc.identifier.epage 606 en


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