%0 Journal Article
%T Automatic Identification of Chinese Maximal Noun Phrases<br>汉语最长名词短语的自动识别
%A ZHOU Qiang
%A SUN Mao-song
%A HUANG Chang-ning
%A <br>周强
%A 孙茂松
%A 黄昌宁
%J 软件学报
%D 2000
%I 
%X Based on the statistical characteristics of Chinese maximal noun phrases (MNPs) in a Chinese corpus with 5 573 sentences,two efficient identifying algorithms for Chinese MNPs:(1) To identify MNPs by using boundary distribution probabilities; (2) To identify MNPs by using internal structure rules,are proposed in this paper.Experimental results show better performances:precision 85.4% and recall 82.3%,by using identifying algorithm (2).
%K Maximal noun phrase
%K boundary identification
%K syntax parsing<br>最长名词短语
%K 边界识别
%K 句法分析.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=374114E4028CE6BF&yid=9806D0D4EAA9BED3&vid=708DD6B15D2464E8&iid=0B39A22176CE99FB&sid=64963996248CBF47&eid=BC084ACE66B62CC8&journal_id=1000-9825&journal_name=软件学报&referenced_num=20&reference_num=17