%0 Journal Article
%T Improved transformation based part of speech tagging of Latin Mongolian<br>改进的基于转换方法的拉丁蒙文词性标注
%A HU Guan-long
%A ZHANG Jian
%A LI Miao
%A <br>胡冠龙
%A 张建
%A 李淼
%J 计算机应用
%D 2007
%I 
%X To solve the problem of rule learning time cost for traditional transformation based part of speech tagging method of Latin Mongolian, a dynamic partition algorithm was presented. It used rule conflict and rule dependency to dynamically partition the training corpus, reduced the searching space and increased the rule learning speed. In an open test of a Latin Mongolian corpus with 10000 sentences, the time that new algorithm cost was only 32% of the old one.
%K part of speech tagging
%K transformation
%K rule conflict
%K rule dependency
%K dynamic partition<br>词性标注
%K 转换
%K 规则冲突
%K 规则依赖
%K 动态划分
%K 改进
%K 转换方法
%K 拉丁
%K 蒙文
%K 词性标注
%K Latin
%K part
%K of
%K speech
%K based
%K transformation
%K 时间
%K 规则学习
%K 发现
%K 对比测试
%K 文句
%K 前提
%K 正确率
%K 搜索空间
%K 依赖关系
%K 算法
%K 动态划分
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=7B8B213CA4236CACC775BE5E4D19B76E&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=BA5B7FED4FC3CDB1&eid=78AF84DBB4041008&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=4