DocumentCode :
518880
Title :
Research on chinese subjective questions scroing algorithm based on natural language processing
Author :
Mai Fanjin ; Yue Xiaoguang ; Zhao Ziqiang
Author_Institution :
Modern Educ. Technol. Center, Guilin Univ. of Technol., Guilin, China
Volume :
2
fYear :
2010
fDate :
27-29 March 2010
Firstpage :
106
Lastpage :
108
Abstract :
Automatic scoring is a help to teachers of giving students exact marks in examination. This article focuses on the method by using natural language processing technology to achieve a viable algorithm. The concepts of the forward maximum matching algorithm and semantic similarity computation and contrary degree calculation are described in this paper. From what has been discussed above, Chinese subjective questions scoring algorithm is studied. Finally, an intelligent scoring system is designed based on the algorithm. Experiments have proved that Chinese subjective questions scoring algorithm and the intelligent scoring system perform well.
Keywords :
artificial intelligence; computer aided instruction; natural language processing; Chinese subjective question scoring algorithm; artificial intelligence; contrary degree calculation; forward maximum matching algorithm; intelligent scoring system; natural language processing; natural language processing technology; semantic similarity computation; Algorithm design and analysis; Computational intelligence; Computational linguistics; Educational institutions; Educational technology; Humans; Intelligent systems; Natural language processing; Natural languages; Registers; contrary degree calculation; natural language processing; semantic similarity computaion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
Type :
conf
DOI :
10.1109/ICACC.2010.5487190
Filename :
5487190
Link To Document :
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