DocumentCode :
3516797
Title :
An Improved Extracting Chinese Term Method Based on C/NC-Value
Author :
Liu Jianzhou ; Shao Xiongkai
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
fYear :
2010
fDate :
28-29 Oct. 2010
Firstpage :
369
Lastpage :
372
Abstract :
Automatic Chinese Term Extraction is an important issue in Natural Language Processing. This paper has proposed an improved method based on C/NC-value to extract Chinese term. We delete the linguistic part in C/NC-value method, and add two improved statistical parameters: mutual information and log-likelihood ratio, to calculate the statistical features of the candidate string. The results of the research indicate that this method is more efficient and robust than previous term-extraction methods.
Keywords :
natural language processing; C/NC-value method; Chinese term method; automatic Chinese term extraction; linguistic part; log likelihood ratio; natural language processing; statistical features; statistical parameter; Computational linguistics; Computer science; Context; Data mining; Mutual information; Pragmatics; Thesauri; Automatic Term Extraction; extended seed; nested term;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
Conference_Location :
Huanggang
Print_ISBN :
978-1-4244-8148-4
Electronic_ISBN :
978-0-7695-4196-9
Type :
conf
DOI :
10.1109/IPTC.2010.77
Filename :
5663265
Link To Document :
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