%0 Journal Article
%T Improved Part-of-speech Tagging by Log-linear Models<br>关于对数线性模型在词性标注中的应用
%A WANG Bao-fang
%A ZHANG Rui-qiang
%A <br>王保芳
%A 张瑞强
%J 计算机科学
%D 2008
%I 
%X This paper presented our latest approaches for improving English part-of-speech tagging with a large tagset by using a log-linear model.We found that integration of multiple probability models log-linearly led to significant im- provements on part-of-speech tagging.We compared our proposed approach with the two traditional approaches,hid- den markov model(HMM)and maximum entropy principle.The HMM approach was implemented by using a new smoothing method while for the maximum entropy approach,we integrated de...
%K Log-linear model
%K Maximum entropy
%K Natural language processing
%K Part-of-speech tagging<br>对数线性模型
%K 最大熵模型
%K 词性标注
%K 自然语言理解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2622B8BBF4F43FC1C1716ED5A43DE44D&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=94C357A881DFC066&sid=D5C9DC4EF2F78008&eid=43608FD2E15CD61B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10