Abstract
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.
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References
Parker, A., Hamblen, J.: Computer Algorithms for Plagiarism Detection. IEEE Transactions on Education 32(2), 94–99 (1989)
Halstead, M.: Elements of Software Science. Elsevier, Amsterdam (1977)
Prechelt, L., Malphol, G., Philippsen, M.: Finding Plagiarisms among a Set of Programs with JPlag. Journal of Universal Computer Science 8(11), 1016–1038 (2002)
Chen, X., Francia, B., Li, M., McKinnon, B., Seker, A.: Shared Information and Program Plagiarism Detection. IEEE Transactions on Information Theory 50(7), 1545–1551 (2004)
Collins, M., Duffy, N.: Convolution Kernels for Natural Language. In: Proceedings of the 14th Neural Information Processing Systems (2001)
Parr, T., Quong, R.: ANTLR: A Predicated-LL(k) Parser Generator. Journal of Software Practice & Experience 25(7) (1995)
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© 2006 Springer-Verlag Berlin Heidelberg
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Son, JW., Park, SB., Park, SY. (2006). Program Plagiarism Detection Using Parse Tree Kernels. In: Yang, Q., Webb, G. (eds) PRICAI 2006: Trends in Artificial Intelligence. PRICAI 2006. Lecture Notes in Computer Science(), vol 4099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36668-3_122
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DOI: https://doi.org/10.1007/978-3-540-36668-3_122
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36667-6
Online ISBN: 978-3-540-36668-3
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