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
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;
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
DOI :
10.1109/ICCSE.2010.5593439
