There is a general belief that software must be able to easily do things that humans find difficult. Since finding sources for plagiarism in a text is not an easy task, there is a wide-spread expectation that it must be simple for software to determine if a text is plagiarized or not. Software cannot determine plagiarism, but it can work as a support tool for identifying some text similarity that may constitute plagiarism. But how well do the various systems work? This paper reports on a collaborative test of 15 web-based text-matching systems that can be used when plagiarism is suspected. It was conducted by researchers from seven countries using test material in eight different languages, evaluating the effectiveness of the systems on single-source and multi-source documents. A usability examination was also performed. The sobering results show that although some systems can indeed help identify some plagiarized content, they clearly do not find all plagiarism and at times also identify non-plagiarized material as problematic.

中文翻译：

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测试剽窃检测的支持工具

人们普遍认为，软件必须能够轻松完成人类认为困难的事情。由于在文本中查找抄袭来源并非易事，因此人们普遍认为，软件确定文本是否被抄袭必须很简单。软件无法确定抄袭，但它可以作为识别某些可能构成抄袭的文本相似性的支持工具。但是各种系统的工作情况如何？本文报告了对 15 个基于 Web 的文本匹配系统的协作测试，这些系统可在怀疑抄袭时使用。它由来自七个国家的研究人员使用八种不同语言的测试材料进行，评估系统在单源和多源文档上的有效性。还进行了可用性检查。