Abstract: This paper shows the design and realization of a Chinese person name automatic recognition system based on the statistics on the large scale persons name bank and persons name corpus. It classifies the surnames by their priority and studied the statistical laws of the context of the first 300 surnames as single word. It also considers the process of confirming true surnames and recognizing person names as a process of decomposing the surname word set of Chinese sentences. At the same time, it proposes multilevel threshold, that is, the threshold of the right bound of person names and recognition both are functions of surnames. In the end it evaluates the performance of the system on a real data set, the recall and precision are 80.62% and 89.27% respectively.

摘要： 本文在对大规模姓名样本库、姓名语料库进行统计的基础上，将姓氏库中的姓氏按优先级分类，并研究了前300个姓氏作普通单字时其上下文用字规律，将确定真姓氏并识别姓名的过程看作对句子的姓氏用字集进行划分的过程，设计实现了一个中文姓名自动识别试验系统。同时提出多级阈值的概念，即姓名右边界阈值和识别阈值均是优先级的函数。对系统的开放测试召回率和准确率分别为80.62%、89.27%。