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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Program Plagiarism Detection Using Parse Tree Kernels
verfasst von : Jeong-Woo Son, Seong-Bae Park, Se-Young Park
Erschienen in: PRICAI 2006: Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Many existing plagiarism detection systems fail in detecting plagiarism when there are an abundant garbage in the copied programs. This is because they do not use the structural information efficiently. In this paper, we propose a novel plagiarism detection system which uses parse tree kernels. By incorporating parse tree kernels into the system, it efficiently handles the structural information within source programs. A comparison with existing systems such as SID and JPlag shows that the proposed system can detect plagiarism more accurately due to its ability of handling structural information.