计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 79-82.

• 智能计算 • 上一篇    下一篇

少数民族语言文字网站的自动识别和采集

兰义湧,刘海峰,杨媛媛   

  1. 中央民族大学理学院 北京100081,中央民族大学信息工程学院 北京100081,中央民族大学少数民族语言文学系 北京100081
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受中央民族大学2014年校级自主科研项目(2014MDLXYZY04)资助

Minority Language Websites’ Automatic Identification and Collection

LAN Yi-yong, LIU Hai-feng and YANG Yuan-yuan   

  • Online:2018-11-14 Published:2018-11-14

摘要: 分析了少数民族语言文字网站的特殊性,综合采用基于特殊字符、网页标签属性和N-gram的方法对传统蒙古文、藏文、阿拉伯字母体系的维吾尔文、哈萨克文和柯尔克孜文以及彝文、新傣文、朝鲜文、俄文和壮文等10种少数民族语言文字网站进行了自动识别研究。所提方法对10种少数民族语言文字网站的平均正确识别率达到95%以上,效果令人满意。

Abstract: This paper presented features of Chinese minority script collection on websites,analysed the problems of webpage identification of Chinese minority script,and put forward an identification method.Based on this method,we designed a software to identify and collect Chinese minority language script such as:Mongolian,Tibetan,Uyghur,Kazak,Kirgiz,Yi script Tai Lue script,Korean,Russian,Zhuang script and so on.The average correct identification rate reaches above 95%.

Key words: Chinese minority language,Websites,Webpage,Automatic identification,Collection

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