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Extrinsic Plagiarism Detection for French Language with Word Embeddings

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Intelligent Systems Design and Applications (ISDA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1181))

Abstract

Plagiarism is the process of using the ideas of another without naming the source. Plagiarism is unacceptable and could be viewed as cheating and stealing. Plagiarism detection is necessary but complicated as it is often facing significant challenges given the large amount of material on the World-wide-web and the limited access to a substantial part of them. This paper presents an investigation of the so-called word embeddings, a recent machine learning paradigm, with the aim of detecting plagiarism in French documents. The proposed model performs better than state of the art methods and achieves a plagiarism detection accuracy of 62% using Gutenberg project novels.

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Notes

  1. 1.

    https://www.gutenberg.org/browse/languages/fr.

  2. 2.

    Plagdet is the main measure for plagiarism detection systems evaluation; it is especially dedicated to manually paraphrased plagiarism datasets.

  3. 3.

    https://pan.webis.de/data.html.

  4. 4.

    http://infolingu.univ-mlv.fr/DonneesLinguistiques/Dictionnaires/telechargement.html.

  5. 5.

    http://abu.cnam.fr/DICO/donner-dico-uncompress.html.

  6. 6.

    https://www.freelang.com/dictionnaire/dic-francais.php.

  7. 7.

    https://github.com/MaryamElamine/French_corpus.

  8. 8.

    https://pan.webis.de/data.html.

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Author information

Authors and Affiliations

  1. MIRACL Laboratory, University of Sfax, Sfax, Tunisia

    Maryam Elamine, Seifeddine Mechti & Lamia Hadrich Belguith

  2. LIUM Laboratory, University of Maine, Le Mans, France

    Fethi Bougares

Authors
  1. Maryam Elamine
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  2. Fethi Bougares
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  3. Seifeddine Mechti
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  4. Lamia Hadrich Belguith
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Corresponding author

Correspondence to Maryam Elamine .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR), Auburn, WA, USA

    Ajith Abraham

  2. Université Paris-Est Créteil Val-de-Ma, Creteil Cedex, France

    Patrick Siarry

  3. School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China

    Kun Ma

  4. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

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Elamine, M., Bougares, F., Mechti, S., Hadrich Belguith, L. (2021). Extrinsic Plagiarism Detection for French Language with Word Embeddings. In: Abraham, A., Siarry, P., Ma, K., Kaklauskas, A. (eds) Intelligent Systems Design and Applications. ISDA 2019. Advances in Intelligent Systems and Computing, vol 1181. Springer, Cham. https://doi.org/10.1007/978-3-030-49342-4_21

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