Chinese Person Name Recognition Based on Naive Bayes

On the basis of the traditional Naive Bayesian classification algorithm that just considered character of Chinese person name, we brought person name´s up and down boundary words in it. In order to overcome the difficulty of boundary defining, we counted Chinese name´s character frequency and boundary templates´ frequency from tagged corpus. Then these recognized person names are used to match the missed occurrence in the text. The method is easy and the final result is good. Experimental results show that the F-value for recognition of Chinese person name was increased.