关键词: 中文人名识别, 条件随机域（CRF）模型, 人名可信度模型, 上下文规则, 边缘概率

Abstract: Most of existing researches mainly focus on recognizing the names of Chinese person while seldom specializing in recognizing Japanese and transliterated person names. This paper proposes a method based on CRF and combines person name reliability model and contextual rules （simply, CRRM） to recognize the person names in Chinese sentences. Partial frequency statistical algorithm is also used to revise the misrecognized boundary of names and proliferation operation is used to recall those unrecognized names with the already recognized one. Experiments based on a true dataset show that this approach is efficient in recognizing the person names from Chinese texts. The F-value for recognition of Chinese person name, Japanese name and transliterated person name is higher than 90%.

Key words: Chinese person name recognition, Conditional Random Fields（CRF） model, person name reliability model, contextual rules, marginal probability