A Hybrid Model for Extracting Transliteration Equivalents from Parallel Corpora

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dc.contributor.authorOh, Jong-Hoon-
dc.contributor.authorChoi, Key-Sun-
dc.contributor.authorIsahara, Hitoshi-
dc.date.accessioned2008-07-14T05:16:52Z-
dc.date.available2008-07-14T05:16:52Z-
dc.date.issued2006-
dc.identifier.citationLecture Notes in Computer Science, Volume 4188, pp.119-126en
dc.identifier.isbn978-3-540-39090-9-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10203/5717-
dc.descriptionInternational Conference on TEXT, SPEECH and DIALOGUE, Serial. 9th, 2006en
dc.description.abstractSeveral models for transliteration pair acquisition have been proposed to overcome the out-of-vocabulary problem caused by transliterations. To date, however, there has been little literature regarding a framework that can accommodate several models at the same time. Moreover, there is little concern for validating acquired transliteration pairs using up-to-date corpora, such as web documents. To address these problems, we propose a hybrid model for transliteration pair acquisition. In this paper, we concentrate on a framework for combining several models for transliteration pair acquisition. Experiments showed that our hybrid model was more effective than each individual transliteration pair acquisition model alone.en
dc.language.isoen_USen
dc.publisherSpringer Verlag (Germany)en
dc.titleA Hybrid Model for Extracting Transliteration Equivalents from Parallel Corporaen
dc.typeArticleen
dc.identifier.doi10.1007/11846406-

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