首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于VC++/MFC的中文自动分词算法及其软件的实现
引用本文:王艳,;元昌安,;覃晓,;彭昱忠,;宋叶俊.基于VC++/MFC的中文自动分词算法及其软件的实现[J].广西师院学报,2008(3):104-108.
作者姓名:王艳  ;元昌安  ;覃晓  ;彭昱忠  ;宋叶俊
作者单位:[1]广西师范学院信息技术系,广西南宁530001; [2]广西师范学院数学与计算机科学系,广西南宁530001
基金项目:国家科技型中小企业技术创新基金项目(06C26224501689);广西自然科学基金(桂科自0679018)
摘    要:中文自动分词一直是中文信息处理、Web文档挖掘等处理文档类研究的基础技术之一,传统的中文分词技术研究,主要集中在算法的改进研究上,对实验的平台,有关软件的实现涉及很少.本文通过探讨中文自动分词的重要性和不可或缺性,给出了基于VC++/MFC自动分词软件的开发技术,最后对软件实现的四种基于词典的机械匹配的算法进行了实验分析,实验证明该系统能够高效的给中文信息处理提供一个平台.

关 键 词:自动分词  中文信息处理  挖掘  基于词典的机械匹配

VC/MFC-based Chinese Automatic Word Segmentation of Algorithm and Software Realization
Institution:WANG Yan, YUAN Chang-an, QIN Xiao, PENG Yu-zhong, SONG Ye-jun(a. Department of Information Teehology; b. Department of Mathematics and Computer Science, Guangxi Teachers Education University, Nanning 530001, China)
Abstract:The Chinese automatic word segmentation is always one basic component in many fields of Chinese information processing, the Web documents mining and so on, one of technologies is processing documents class research. The traditional Chinese word segmentation engineering research mainly concen- trates on algorithm improvement research. For the experimental platform, the related software realization involves very few. This article has given the VC/MFC-based automatic word segmentation software development technology. Four methods, actualized by software, is based on the dictionary machinery matched by algorithm. The experiment proved that this system can effectively provide a platform for Chinese information processing.
Keywords:automatic word segmentation  Chinese information processing  mining  dictionary - based machinery match
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号