Research on Chinese Subjective Questions Scroing Algorithm Based on Natural Language Processing
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.
natural language processing semantic similarity computaion contrary degree calculation
MAI Fanjin YUE Xiaoguang ZHAO Ziqiang
Modern Education Technology Center Guilin University of Technology Guilin, China Mechanical and Electronic Engineering College Taiyuan University of Science and Technology Taivuan,
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
106-108
2010-03-27（万方平台首次上网日期，不代表论文的发表时间）