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

Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

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.

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