Plagiarism Detection Without Reference Collections
Plagiarism Detection Without Reference Collections
复制标题
没有参考文献集的抄袭检测
DOI：
10.1007/978-3-540-70981-7_40
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Marion Kulig
中科院分区：
文献类型：
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作者：
Sven Meyer zu Eissen;Benno Stein;Marion Kulig
目前的研究领域的自动剽窃检测文本文件的重点是开发的算法，比较可疑的文件与潜在的原始文件。虽然最近的方法在识别复制甚至修改的段落方面表现良好（[Brin et al.（1995），Stein（2005）]），但它们假设一个封闭的世界，必须给出参考集合（Finkel（2002））。回想一下，人类读者可以在没有潜在原始文档库的情况下识别文档中的可疑段落。这就提出了一个问题，即如果没有给出参考，是否可以自动检测到文档中的剽窃段落。G.如果剽窃的段落来自一本没有数字形式的书。这篇论文的贡献就在这里;它提出了一种方法，通过分析一个文档的写作风格的变化来识别潜在的抄袭段落。这样的段落然后可以被用作在互联网上搜索潜在来源的起点。除此之外，这样的段落可以预先选择由人类裁判检查。除其他外，我们将提出新的风格特征，可以有效地计算，并提供高度区分的信息：我们的实验，将公布的测试语料库的基础上，显示令人鼓舞的结果。
Current research in the field of automatic plagiarism detection for text documents focuses on the development of algorithms that compare suspicious documents against potential original documents. Although recent approaches perform well in identifying copied or even modified passages ([Brin et al. (1995), Stein (2005)]), they assume a closed world where a reference collection must be given (Finkel (2002)). Recall that a human reader can identify suspicious passages within a document without having a library of potential original documents in mind.This raises the question whether plagiarized passages within a document can be detected automatically if no reference is given, e. g. if the plagiarized passages stem from a book that is not available in digital form. This paper contributes right here; it proposes a method to identify potentially plagiarized passages by analyzing a single document with respect to changes in writing style. Such passages then can be used as a starting point for an Internet search for potential sources. As well as that, such passages can be preselected for inspection by a human referee. Among others, we will present new style features that can be computed efficiently and which provide highly discriminative information: Our experiments, which base on a test corpus that will be published, show encouraging results.