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

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 2004.