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Detecting documents plagiarism using winnowing algorithm and k-gram method

机译:使用风选算法和k-gram方法检测文件抄袭

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摘要

In this paper, we propose and evaluate a web-based software to check similarities of documents. The resemblance value of those documents will be compared based on the percentage of its word resemblance. The similarity value will help to detect plagiarism in documents. Methods used in this application are winnowing algorithm and web-based k-gram. We evaluate the accuracy of the system by comparing the system result with the human result. The differences between the systems and the respondents are 7% with k-gram 25 and 4% with k-gram 20. Moreover, processing time of our application are also discussed.
机译:在本文中,我们提出并评估了一个基于Web的软件来检查文档的相似性。这些文档的相似度值将根据其单词相似度的百分比进行比较。相似度值将有助于检测文档中的窃。本应用程序中使用的方法是风选算法和基于Web的k-gram。我们通过将系统结果与人工结果进行比较来评估系统的准确性。系统与受访者之间的差异在k-gram 25中为7%,在k-gram 20中为4%。此外,还讨论了我们应用程序的处理时间。

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