Abstract
Document copy detection is a very important tool for protecting author’s copyright. We present a document copy detection system that calculates the similarity between documents based on plagiarism patterns. Experiments were performed using CISI document collection and show that the proposed system produces more precise results than existing systems.
This research was supported by the MIC (Ministry of Information and Communication), Korea, under the Chung-Ang University HNRC-ITRC (Home Network Research Center) support program supervised by the IITA (Institute of Information Technology Assessment).
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© 2006 Springer-Verlag Berlin Heidelberg
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Kang, N., Han, S. (2006). Document Copy Detection System Based on Plagiarism Patterns. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299_60
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DOI: https://doi.org/10.1007/11671299_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32205-4
Online ISBN: 978-3-540-32206-1
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