专有名词的识别对自动分词有重要意义。本文针对如何识别中文姓名做了有益的尝试,主要采用基于统计方法,进行中文姓名识别。本文建立了有监督学习机制,提出了句子切分结果可信度等概念,并在此基础上建立了较好的统计模型,系统闭式精确率和召回率分别达95.97%和95.52% ,开式精确率和召回率分别达92.37%和88.62%。

Identification of Chinese names is one of important techniques to improve the accuracy of automatic word segmentation. This paper proposes an effective model based on statistics to identify Chinese names. It establishes rewards-punishment mechanism and supervised-learning mechanism , and presents the reliability for the word segmentation in the model. The experiments show that the precision and recall rate respectively reach 95.97% and 95.52% by close test , while the precision and recall rate are 92.37% and 88.62% by open test .