使用向量空间模型的自动外部波斯语抄袭检测

P. Mahdavi, Zahra Siadati, F. Yaghmaee
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引用次数: 20

摘要

如今,互联网的极其广泛和便利的访问使得抄袭和文本重用更加普遍。关于自动抄袭检测的研究很多。但是由于缺乏合适的波斯语语料库,关于波斯语抄袭自动检测方法的研究很少。本文提出了一种基于向量空间模型(VSM)的外部波斯语抄袭检测方法。为了实现和检验这种方法,开发了一个波斯语语料库。在研究过程中进行了一些优化。这些优化使得算法非常快速和准确。测试结果表明,该方法的精度为0.87,处理时间成本小于10分钟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic external Persian plagiarism detection using vector space model
Nowadays, extremely wide and facilitated access to the Internet has made the plagiarism and text reuse more common. Many studies have been conducted on automatic plagiarism detection. But there are few studies on automatic Persian plagiarism detection methods due to lack of a suitable Persian corpus. In this paper, an external Persian plagiarism detection method based on the vector space model (VSM) has been proposed. To implement and examine this method, a Persian corpus has been developed. Several optimizations have been done during the study. These optimizations make the algorithm very fast and accurate. The test results of the proposed method shows an accuracy of 0.87 and a processing time cost of less than 10 minutes.
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