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PPChecker: Plagiarism pattern checker in document copy detection
- Authors
- Kang, N.O.; Gelbukh, A.; Han, S.Y.
- Issue Date
- Sep-2006
- Publisher
- Springer Verlag
- Keywords
- Document Copy Detection; Plagiarism Pattern
- Citation
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4188 LNCS, pp 661 - 667
- Pages
- 7
- Journal Title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- Volume
- 4188 LNCS
- Start Page
- 661
- End Page
- 667
- ISSN
- 0302-9743
1611-3349
- Abstract
- Nowadays, most of documents are produced in digital format, in which they can be easily accessed and copied. Document copy detection is a very important tool for protecting the author's copyright. We present PPChecker, a document copy detection system based on plagiarism pattern checking. PPChecker calculates the amount of data copied from the original document to the query document, based on linguistically-motivated plagiarism patterns. Experiments performed on CISI document collection show that PPChecker produces better decision information for document copy detection than existing systems. © Springer-Verlag Berlin Heidelberg 2006.
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