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DOI:
Journal of Software:2000.11(2):195-201

汉语最长名词短语的自动识别
周强,孙茂松,黄昌宁
(智能技术与系统国家重点实验室,北京,100084)
Automatic Identification of Chinese Maximal Noun Phrases
ZHOU Qiang,SUN Mao-song,HUANG Chang-ning
()
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Received:November 10, 1998    Revised:March 09, 1999
> 中文摘要: 通过对包含5573个汉语句子的语料文本中的最长名词短语的分布特点的统计分析,提出了两种有效的汉语最长名词短语自动识别算法:基于边界分布概率的识别算法和基于内部结构组合的识别算法.实验结果显示,后者的识别正确率和召回率分别达到了85.4%和82.3%,取得了较好的自动识别效果.
Abstract: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).
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基金项目:本文研究得到国家自然科学基金(No.69705005)和中国博士后科学基金(No.97005)资助. 本文研究得到国家自然科学基金(No.69705005)和中国博士后科学基金(No.97005)资助.
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周强,孙茂松,黄昌宁.汉语最长名词短语的自动识别.软件学报,2000,11(2):195-201

ZHOU Qiang,SUN Mao-song,HUANG Chang-ning.Automatic Identification of Chinese Maximal Noun Phrases.Journal of Software,2000,11(2):195-201