Geodesic
Noun Sense Disambiguation using Co-Occurrence Relation in Machine Translation
Serdica Journal of Computing, Tome 6 (2012) no. 4, pp. 401-408.

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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.
Keywords: Machine Translation, Statistical Method, Word Sense Disambiguation, Co-occurrence Relation, Bilingual Corpus 
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Choe, Changil; Kim, Hyonil. Noun Sense Disambiguation using Co-Occurrence Relation in Machine Translation. Serdica Journal of Computing, Tome 6 (2012) no. 4, pp. 401-408. http://geodesic.mathdoc.fr/item/SJC_2012_6_4_a2/