In order to improve the precision and increase the speed of Chinese personal name recognition, a new model based on artificial immune system for Chinese personal name recognition was proposed.The concepts of “self", “non self", “antibody" and “antigen" were defined. The mechanisms of immune learning, immune recognition and immune memory were built.The correlative algorithm was presented. The results showed that the novel method is more effective in some aspects than the traditional ones based on statistics, corpus, and decision tree. Thus, it provides a good solution to the field of text mining.
