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