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FIRE 2016: Text Processing pp 109–117Cite as

Plagiarism Detection Based on a Novel Trie-Based Approach

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10478))

Abstract

Nowadays, plagiarism detection becomes as one of the major problems in the text mining field. New coming technologies have made plagiarisation easy and more feasible. Therefore, it is vital to develop a system which can automatically detect plagiarisation in different contents.

In this paper, we propose a Trie to compare source and suspicious text documents. We use PersianPlagDet text documents as a case study. Both character-based and knowledge-based techniques for detection purposes have improved our method. Besides, our fast algorithm for insertion and retrieval has made possible to compare long documents with high-speed.

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Authors and Affiliations

  1. CyberSpace Research Institute, Shahid Beheshti University, Tehran, Iran

    Alireza Talebpour, Mohammad Shirzadi Laskoukelayeh & Zahra Aminolroaya

Authors
  1. Alireza Talebpour
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  2. Mohammad Shirzadi Laskoukelayeh
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  3. Zahra Aminolroaya
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Corresponding author

Correspondence to Zahra Aminolroaya .

Editor information

Editors and Affiliations

  1. DAIICT, Gujarat, India

    Prasenjit Majumder

  2. Indian Statistical Institute, Kolkata, India

    Mandar Mitra

  3. DAIICT, Gujarat, India

    Parth Mehta

  4. DAIICT, Gujarat, India

    Jainisha Sankhavara

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Talebpour, A., Shirzadi Laskoukelayeh, M., Aminolroaya, Z. (2018). Plagiarism Detection Based on a Novel Trie-Based Approach. In: Majumder, P., Mitra, M., Mehta, P., Sankhavara, J. (eds) Text Processing. FIRE 2016. Lecture Notes in Computer Science(), vol 10478. Springer, Cham. https://doi.org/10.1007/978-3-319-73606-8_8

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  • DOI: https://doi.org/10.1007/978-3-319-73606-8_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73605-1

  • Online ISBN: 978-3-319-73606-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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