关键词: 中国人名识别, 最大熵模型, viterbi算法

Abstract: Authors use the maximum entropy model to recognize the Chinese name automatically.Firstly，authors replace the corpus’s poses with roles，then，use feature template to extract feature set from the corpus which poses have been replaced with roles，thirdly，train the parameters of the feature set using IIS algorithm，finally，use the viterbi algorithm to tag the text which has been roughly segmented.The possible names are recognized after maximum pattern matching on the roles sequence.The closed test shows that the precision，the recall and the F-measure reach 75.6%，91.4%，82.8%.

Key words: Chinese name recognition, maximum entropy model, viterbi algorithm