Intrinsic plagiarism detection using N-gram classes

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Abstract

When it is not possible to compare the suspicious document to the source document(s) plagiarism has been committed from, the evidence of plagiarism has to be looked for intrinsically in the document itself. In this paper, we introduce a novel languageindependent intrinsic plagiarism detection method which is based on a new text representation that we called n-gram classes. The proposed method was evaluated on three publicly available standard corpora. The obtained results are comparable to the ones obtained by the best state-of-the-art methods.

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Bensalem, I., Rosso, P., & Chikhi, S. (2014). Intrinsic plagiarism detection using N-gram classes. In EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 1459–1464). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/d14-1153

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