Using Restricted Natural Language for Geometric Construction
Using Restricted Natural Language for Geometric Construction
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DOI：
10.4028/www.scientific.net/amm.145.465
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发表时间：
2011-12
期刊：
影响因子：
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通讯作者：
Qingtang Liu;Huang Huang-Huang;Linjing Wu
中科院分区：
文献类型：
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作者：
Qingtang Liu;Huang Huang-Huang;Linjing Wu
人机交互是教学软件的关键。使几何教学软件能够理解自然语言描述的几何命题并自动构造几何图形具有重要意义。然而，由于自然语言处理技术的不成熟，计算机很难准确理解灵活多变的几何命题。定义了一个限制性几何命题，提出了一个基于本体的理解模型，设计了一个几何关系模式匹配算法，最终将限制性几何命题转化为几何构造命令序列。实验结果表明，几何命题小句理解的平均正确率接近88.9%，构造正确几何图形的平均正确率达到82.5%。
Human-Computer Interaction is crucial for Instructional Software. It is significant to make Geometry Instructional Software understand geometric proposition described by natural language and construct geometric figure automatically. However, it is difficult for computer to accurately understand the flexible and variable geometric proposition because of the immaturity of Natural Language Processing Technology. This paper defines a restricted geometric proposition, presents a corresponding comprehension model based on ontology, and designs a matching algorithm for geometric relation pattern, finally transforms the restricted geometric proposition to geometric construction command sequence. The experiment results suggest that the average accuracy of understanding clauses of geometric proposition is almost to 88.9%, and the percentage of constructing correct geometric figure is to 82.5%.