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In this paper, we propose a method of Korean text chunk identification based on support vector machines (SVMs). Text chunking is a task that divides text into syntactically related non-overlapping groups of word. It is a useful preprocessing step for the reduced time and computational resource of sentence parsing. Especially, we select features for SVM by considering the linguistic typological characteristics...
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