Hybrid Segmentation Prototype for Arabic Text-Based Documents: Towards Plagiarism Detection

Sonia Alouane-Ksouri and Minyar Sassi Hidri
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Sonia Alouane-Ksouri: National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia
Minyar Sassi Hidri: National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2015, vol. 6, issue 1, 63-74

Abstract: The contribution of this work relates to the field of Arabic text-based document analysis for the detection of plagiarism. This analysis will be carried out according to the triadic computation model of document similarity. The authors propose a hybrid segmentation prototype for Arabic text-based documents that links different processing steps in order to generate the similarity rate between the documents of an Arabic corpus. It involves two segmentation systems and a morphological analysis in order to obtain a matrix representation adapted to the triadic similarity computation according to three abstraction levels: documents, sentences and words.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jssmet:v:6:y:2015:i:1:p:63-74

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International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

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