Document type
ArticleVersion
Published versionPublication date
All rights reserved
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/49363
Plagiarism meets paraphrasing: insights for the new generation in automatic plagiarism detection
Journal Title
Director/Tutor
Journal ISSN
Volume Title
Related resource
Abstract
Although paraphrasing is the linguistic mechanism underlying many plagiarism cases, little attention has been paid to its analysis in the framework of automatic plagiarism detection. Therefore, state-of-the-art plagiarism detectors find it difficult to detect cases of paraphrase plagiarism. In this article, we analyse the relationship between paraphrasing and plagiarism, paying special attention to which paraphrase phenomena underlie acts of plagiarism and which of them are detected by plagiarism detection systems. With this aim in mind, we created the P4P corpus, a new resource which uses a paraphrase typology to annotate a subset of the PAN-PC-10 corpus for automatic plagiarism detection. The results of the Second International Competition on Plagiarism Detection were analysed in the light of this annotation. The presented experiments show that (i) more complex paraphrase phenomena and a high density of paraphrase mechanisms make plagiarism detection more difficult, (ii) lexical substitutions are the paraphrase mechanisms used the most when plagiarising, and (iii) paraphrase mechanisms tend to shorten the plagiarized text. For the first time, the paraphrase mechanisms behind plagiarism have been analysed, providing critical insights for the improvement of automatic plagiarism detection systems.
Subject (English)
Citation
Citation
BARRÓN-CEDEÑO, Alberto, et al. Plagiarism meets paraphrasing: insights for the new generation in automatic plagiarism detection. Computational Linguistics. 2013. Vol. 39, num. 4, pags. 917-947. ISSN 0891-2017. [consulted: 19 of August of 2026]. Available at: https://hdl.handle.net/2445/49363