DocumentCode :
2180240
Title :
Chinese sentence correlation analyzing based on semantic dependency method
Author :
Zhu, Haiping ; Yang, Yang ; Chen, Yan ; Ma, Qian
Author_Institution :
Dept. of Comput. Sci. & Technol., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2011
fDate :
9-11 Sept. 2011
Firstpage :
1932
Lastpage :
1935
Abstract :
Based on the adoption of dependency grammar to analyze the structure of Chinese sentences, this paper suggests to analyze Chinese sentence with semantic dependency method. The correlation between words and phrases can be gotten by way of analysis and calculation of the similarity between the words and phrases from How net, and then the formula to analyze the similarity between sentences can be designed. Fully considering the relationship between structure and semantics of Chinese sentences, this methodology can be adopted to analyze the correlation between topics and to categorize them. It has certain prospect in the field of Chinese language research, personalized online education and recommendation of resources for the users.
Keywords :
correlation methods; grammars; natural languages; string matching; Chinese language research; Chinese sentence correlation analysis; How net; dependency grammar; personalized online education; resource recommendation; semantic dependency method; similarity analysis; Computational modeling; Computer science; Correlation; Educational institutions; Grammar; Intelligent networks; Semantics; Pruning; Semantics dependency; Sentence correlation; Sentence similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
Type :
conf
DOI :
10.1109/ICECC.2011.6066721
Filename :
6066721
Link To Document :
بازگشت