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A Plagiarism Detection System for Arabic Documents

  • Conference paper
Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 323))

Abstract

This paper proposes a new plagiarism detection system devoted to Arabic text documents. This system is based on modeling the relation between documents and their n-gram phrases. Part-of-Speech tagging is applied on the examined documents to support in resolving the morphological ambiguity during text normalization. Text indexing and stop-words removal are performed, employing a new morphological analysis based method. Heuristic pairwise phrase matching algorithm is used to build the documents TF-IDF model, considering substitution of words with their synonyms. The hidden associations of the unique n-gram phrases contained in the documents are investigated using the Latent Semantic Analysis. Then, the pairwise document similarity scores are derived from the Singular Value Decomposition computations. The performance of the proposed system was confirmed through experiments with various data sets, exhibiting promising capabilities in identifying literal and some types of intelligent plagiarism. Finally, the proposed system was compared to Plagiarism-Checker-X, and the proposed system outperformed Plagiarism-Checker-X, especially for intelligent plagiarism.

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Author information

Authors and Affiliations

  1. Faculty of Computer and Information Sciences, Ain Shams University, Cairo, 11566, Egypt

    Ashraf S. Hussein

Authors
  1. Ashraf S. Hussein
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Corresponding author

Correspondence to Ashraf S. Hussein .

Editor information

Editors and Affiliations

  1. Ford Motor Company, Research & Advanced Engineering, Dearborn, Mississippi, USA

    D. Filev

  2. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    J. Jabłkowski

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    J. Kacprzyk

  4. Polish Academy of Sciences and WIT - Warsaw School of Information Technology, Systems Research Institute, Warsaw, Poland

    M. Krawczak

  5. Bulgarian Academy of Sciences, Institute of Information and Communication, Sofia, Bulgaria

    I. Popchev

  6. Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland

    L. Rutkowski

  7. Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Sofia, Bulgaria

    V. Sgurev

  8. Department of Computer and Information Technologies, “Prof. Assen Zlatarov" University Faculty of Technical Sciences, Bourgas, Bulgaria

    E. Sotirova

  9. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    P. Szynkarczyk

  10. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    S. Zadrozny

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Hussein, A.S. (2015). A Plagiarism Detection System for Arabic Documents. In: Filev, D., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-319-11310-4_47

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  • DOI: https://doi.org/10.1007/978-3-319-11310-4_47

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11309-8

  • Online ISBN: 978-3-319-11310-4

  • eBook Packages: EngineeringEngineering (R0)

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