节点文献
基于贝叶斯算法的中国人名识别
Research on Chinese name identification based on Bayes algorithm
【摘要】 在常规的使用概率统计人名方法的基础上,提出了使用贝叶斯分类法识别句子中中国人名的方法。通过使用贝叶斯分类算法计算汉字串分别成为中国人名的概率和成为非中国人名的概率,可以有效地识别出汉语句子中的中国人名。该方法的识别公式简单,并且具有一定的学习能力,在与其他一些辅助技术结合起来的情况下,可以获得比较好的中国人名识别效果。
【Abstract】 Based on the regular probability and statistics theories, a method which used Bayes algorithm to identify all Chinese name in sentence was presented. By using Bayes classification algorithm to calculate the probability whether a Chinese character string should be a Chinese name or non-Chinese name, all Chinese name in sentence could be identified efficiently. This method has simple formulae and some learning ability, while combining with other technologies, it can get a good result for Chinese name identification.
【关键词】 汉语分词;
中国人名识别;
贝叶斯分类法;
【Key words】 Chinese participle; Chinese name identification; Bayesian classification algorithm;
【Key words】 Chinese participle; Chinese name identification; Bayesian classification algorithm;
- 【文献出处】 计算机应用 ,Journal of Computer Applications , 编辑部邮箱 ,2006年04期
- 【分类号】TP391.4
- 【被引频次】27
- 【下载频次】506