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Title: Noun Sense Disambiguation using Co-Occurrence Relation in Machine Translation
Authors: Choe, Changil
Kim, Hyonil
Keywords: Machine Translation
Statistical Method
Word Sense Disambiguation
Co-occurrence Relation
Bilingual 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.
ISSN: 1312-6555
Appears in Collections:Volume 6 Number 4

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