DocumentCode
2448822
Title
Automatic identification of noun phrases based on statistics and rules
Author
Shi, Shuicai ; Liu, Zhijie ; Li, Yuqin ; Lv, Xueqiang
Author_Institution
Chinese Inf. Process. Res. Center, Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear
2010
fDate
24-27 Aug. 2010
Firstpage
1
Lastpage
5
Abstract
By analyzing the characteristics of Chinese noun phrase, propose an automatic identification method of Chinese noun phrase based on statistics and rules. The method includes efficient binary statistical model, mutual information, and rules for knowledge established from a large number of corpus. Then we analyze the distribution of noun phrase in detail. The results show that the method is fit for the automatic recognition of noun phrase, and the F1 value is 85.49%.
Keywords
natural language processing; statistical analysis; Chinese noun phrase; automatic identification method; automatic recognition; binary statistical model; mutual information; natural language processing; rules; Computational modeling; Information processing; Joining processes; Mutual information; Speech; Statistical analysis; Syntactics; binary statistical model; mutual information; noun phrase; rules for knowledge;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location
Hefei
Print_ISBN
978-1-4244-6002-1
Type
conf
DOI
10.1109/ICCSE.2010.5593439
Filename
5593439
Link To Document