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