2 research outputs found

    Statistical models for case ambiguity resolution in Korean

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    The Grammatical Function Analysis between Korean Adnoun Clause and Noun Phrase by Using Support Vector Machines

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    This study aims to improve the performance of identifying grammatical functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between the two constituents in terms of such functional categories as subject, object, adverbial, and appositive. The problem is mainly caused by the fact that functional morphemes, which are considered to be crucial for identifying the relation, are frequently omitted in the noun phrases. To tackle this problem, we propose to employ the Support Vector Machines(SVM) in determining the grammatical functions
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