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Identifying pronunciation-translated names from chinese texts based on support vector machines

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Indexed by:会议论文

Date of Publication:2004-08-19

Included Journals:EI

Volume:3173

Page Number:983-987

Abstract:This paper presents a method of automatic recognition of pronunciation- translated names (P-Names) based on support vector machines (SVMs): extracting the character itself, character-based part-of-speech (POS) tag, frequency information of a character in P-Name table and context information as the attributes of feature vectors, a training set is established. The machine learning models of automatic identification of P-Names based on support vector machines are obtained using polynomial kernel functions. The testing results show that this method is efficient for identifying pronunciation-translated names. © Springer-Verlag Berlin Heidelberg 2004.

Pre One:Chinese syntactic category disambiguation using support vector machines