| 一种基于中文分词的主观题自动评分优化算法研究 |
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| 引用本文： | 胡恩博,余腊生.一种基于中文分词的主观题自动评分优化算法研究[J].长沙大学学报,2014(5):59-61. |
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| 作者姓名： | 胡恩博 余腊生 |
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| 作者单位： | 1. 中南大学信息科学与工程学院，湖南 长沙410083; 湖南第一师范学院信息科学与工程学院，湖南 长沙410205
2. 中南大学信息科学与工程学院,湖南 长沙,410083 |
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| 摘 要： | 论述了一种基于中文分词的主观题自动评分优化算法的设计与实现,详细介绍了中文分词技术及实现方法,对单词串匹配度从单词长度、单词词形、单词顺序及影响因子四个方面进行算法设计与分析,最后进行实验测试,测试结果表明采用此优化算法进行的自动评分准确率有显著提升.
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| 关 键 词： | 中文分词 自动评分 相似度 |
An Optimization Algorithm of Automatic Grading for Subjective Questions Based on Chinese Words Segmentation |
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| HU Enbo,YU Lasheng.An Optimization Algorithm of Automatic Grading for Subjective Questions Based on Chinese Words Segmentation[J].Journal of Changsha University,2014(5):59-61. |
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| Authors: | HU Enbo YU Lasheng |
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| Institution: | HU Enbo, YU Lasheng (1. School of Information Science and Engineering, Central South University, Changsha Hunan 410083, China; 2. School of Information Science and Engineering, Hunan First Normal University, Changsha Hunan 410205, China) |
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| Abstract: | The paper discusses the design and implementation of an optimization algorithm of automatic grading for subjective questions based on Chinese words segmentation,introduces the Chinese segmentation technology and implementation method in detail,designs and analyses the word string matching algorithm from four aspects of the word length,word formation,word order and influencing fac-tors,and finally the experiment is tested.The test results show that automatic grading accuracy is significantly improved with this opti-mization algorithm. |
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| Keywords: | Chinese words segmentation automatic grading similarity |
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