Research on Method of Automatic Recognition of Chinese Place Names Based on Support Vector Machines

This paper presents a method of automatic recognition of Chinese place names based on support vector machines (SVM), the place names and non-place names are classified by SVM: considered the feature of Chinese place names, the lexical reliability of place names and part-of-speech around the place names are extracted as the attributes of feature vectors. A training set is established. The machine learning models of automatic classification of Chinese place names based on support vector machines are obtained by testing different kernel functions. The results of some preliminary tests show that the SVM method is efficient for classifying Chinese place names.