| 基于规则的大规模试卷文本语块识别方法的研究* |
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| 引用本文： | 郭凯红,李文立.基于规则的大规模试卷文本语块识别方法的研究*[J].计算机应用研究,2009,26(4):1391-1393. |
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| 作者姓名： | 郭凯红 李文立 |
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| 作者单位： | 1. 大连理工大学,管理学院,辽宁,大连,116024;辽宁大学,信息学院,沈阳,110036
2. 大连理工大学,管理学院,辽宁,大连,116024 |
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| 基金项目： | 国家自然科学基金资助项目(70572099)；辽宁省自然科学基金资助项目(1050349) |
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| 摘 要： | 提出了一种基于规则的试卷文本语块识别方法，有效解决了试题库中大规模试题数据的初始化问题。通过定义文本语块识别规则，构建自动机识别模型，在理论上描述了试卷文本的识别过程。实验表明，该模型具有良好的性能，在此基础上，实现了一个原型系统，通过具体的应用实例验证了该方法的可行性和有效性。
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| 关 键 词： | 规则 语块 试卷文本 识别模型 |
Study of massive paper texts chunking based on rules |
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| GUO Kai-hong,LI Wen-li.Study of massive paper texts chunking based on rules[J].Application Research of Computers,2009,26(4):1391-1393. |
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| Authors: | GUO Kai-hong LI Wen-li |
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| Affiliation: | (1.School of Management, Dalian University of Technology, Dalian Liaoning 116024, China; 2.College of Information, Liaoning University, Shenyang 110036, China) |
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| Abstract: | To solve the initiating of massive examination questions in database efficiently, proposed a paper texts chunking method based on rules. Defining recognition rules of paper texts and constructing automata recognition model, described the recognition processing of paper texts theoretically. Experiment results show that this model has better performance. By these works, implemented a prototype system, and verified its feasibility and effectiveness by a practical application. |
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| Keywords: | rules chunk examination paper texts recognition model |
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