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基于分词匹配的主观题自动评阅技术研究

冯光 乔丹丹 常静怡

计算机与现代化Issue(3):212-214,219,4.
计算机与现代化Issue(3):212-214,219,4.DOI:10.3969/j.issn.1006-2475.2013.03.054

基于分词匹配的主观题自动评阅技术研究

Research on Subjective Question Automatic Marking Technology Based on Word Segmentation Matching

冯光 1乔丹丹 1常静怡1

作者信息

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摘要

Abstract

Nowadays, because of the immaturity of the automatic marking system technology, some problems still exist when dealing with the subjective problems, such as short-answer questions, essay questions, etc. In order to improve the accuracy grade of assessing the subjective question automatically, this paper presents a kind of automated marking system with stable performance and high accuracy by adopting Chinese word segmentation extraction technology and key word matching technology which are based on forward maximum matching algorithm. Experimental results show that using this kind of automated marking system can satisfy the demand of system design and it is very effective and feasible.

关键词

中文分词/最大正向匹配/主观题/关键字匹配

Key words

Chinese word segmentation/ forward maximum matching/ subjective questions/ keyword matching

分类

信息技术与安全科学

引用本文复制引用

冯光,乔丹丹,常静怡..基于分词匹配的主观题自动评阅技术研究[J].计算机与现代化,2013,(3):212-214,219,4.

基金项目

安阳师范学院大学生创新基金资助项目(ASCX/2011-Z22) (ASCX/2011-Z22)

计算机与现代化

OACSTPCD

1006-2475

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