Abstract
When automatic plagiarism detection is carried out considering a reference corpus, a suspicious text is compared to a set of original documents in order to relate the plagiarised text fragments to their potential source. One of the biggest difficulties in this task is to locate plagiarised fragments that have been modified (by rewording, insertion or deletion, for example) from the source text.
The definition of proper text chunks as comparison units of the suspicious and original texts is crucial for the success of this kind of applications. Our experiments with the METER corpus show that the best results are obtained when considering low level word n-grams comparisons (n = {2,3}).
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References
Clough, P., Gaizauskas, R., Piao, S.: Building and Annotating a Corpus for the Study of Journalistic Text Reuse. In: 3rd International Conference on Language Resources and Evaluation (LREC 2002), V, pp. 1678–1691. Las Palmas, Spain (2002)
Kang, N., Gelbukh, A.: PPChecker: Plagiarism Pattern Checker in Document Copy Detection. In: Sojka, P., Kopeček, I., Pala, K. (eds.) TSD 2006. LNCS, vol. 4188, pp. 661–667. Springer, Heidelberg (2006)
Lyon, C., Malcolm, J., Dickerson, B.: Detecting Short Passages of Similar Text in Large Document Collections. In: Conference on Empirical Methods in Natural Language Processing, Pennsylvania, pp. 118–125 (2001)
Lyon, C., Barrett, R., Malcolm, J.: A Theoretical Basis to the Automated Detection of Copying Between Texts, and its Practical Implementation in the Ferret Plagiarism and Collusion Detector. In: Plagiarism: Prevention, Practice and Policies Conference, Newcastle, UK (2004)
Porter, M.F.: An Algorithm for Suffix Stripping. Program 14(3), 130–137 (1980)
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Barrón-Cedeño, A., Rosso, P. (2009). On Automatic Plagiarism Detection Based on n-Grams Comparison. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds) Advances in Information Retrieval. ECIR 2009. Lecture Notes in Computer Science, vol 5478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00958-7_69
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DOI: https://doi.org/10.1007/978-3-642-00958-7_69
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