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Domain phrase identification using atomic word formation in Chinese text

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成果类型:
期刊论文
作者:
Liu, Qingtang;Wu, Linjing*;Yang, Zongkai;Liu, Yaoyao
通讯作者:
Wu, Linjing
作者机构:
[Yang, Zongkai; Liu, Qingtang; Wu, Linjing] Huazhong Normal Univ, Natl Engn Res Ctr Learning E, Wuhan 430079, Hubei, Peoples R China.
[Liu, Qingtang; Liu, Yaoyao] Huazhong Normal Univ, Dept Informat Technol, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Wu, Linjing] H
Huazhong Normal Univ, Natl Engn Res Ctr Learning E, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
domain phrase;word formation;atomic word;string filtering;domain relevance
期刊:
Knowledge-Based Systems
ISSN:
0950-7051
年:
2011
卷:
24
期:
8
页码:
1254-1260
基金类别:
National High-tech Research and Development Program (863 program)National High Technology Research and Development Program of China [2008AA01Z127]; Ministry of Education of ChinaMinistry of Education, China [09YJC870009]
机构署名:
本校为第一且通讯机构
院系归属:
教育信息技术学院
国家数字化学习工程技术研究中心
摘要:
Chinese word segmentation is a difficult and challenging job because Chinese has no white space to mark word boundaries. Its result largely depends on the quality of the segmentation dictionary. Many domain phrases are cut into single words for they are not contained in the general dictionary. This paper demonstrates a Chinese domain phrase identification algorithm based on atomic word formation. First, atomic word formation algorithm is used to extract candidate strings from corpus after pretreatment. These extracted strings are stored as the candidate domain phrase set. Second, a lot of stra...

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