Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1974

 Title: Noun Sense Disambiguation using Co-Occurrence Relation in Machine Translation Authors: Choe, ChangilKim, Hyonil Keywords: Machine TranslationStatistical MethodWord Sense DisambiguationCo-occurrence RelationBilingual Corpus Issue Date: 2012 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Journal of Computing, Vol. 6, No 4, (2012), 401p-408p Abstract: Word Sense Disambiguation, the process of identifying the meaning of a word in a sentence when the word has multiple meanings, is a critical problem of machine translation. It is generally very difficult to select the correct meaning of a word in a sentence, especially when the syntactical difference between the source and target language is big, e.g., English-Korean machine translation. To achieve a high level of accuracy of noun sense selection in machine translation, we introduced a statistical method based on co-occurrence relation of words in sentences and applied it to the English-Korean machine translator RyongNamSan. ACM Computing Classification System (1998): I.2.7. URI: http://hdl.handle.net/10525/1974 ISSN: 1312-6555 Appears in Collections: Volume 6 Number 4

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