Hybrid Segmentation Prototype for Arabic Text-Based Documents-Reference-Cited by-同舟云学术

Hybrid Segmentation Prototype for Arabic Text-Based Documents

Published:2015-01 Issue:1 Volume:6 Page:63-74
ISSN:1947-959X
Container-title:International Journal of Service Science, Management, Engineering, and Technology
language:en
Short-container-title:

Author:

Alouane-Ksouri Sonia¹,Hidri Minyar Sassi¹

Affiliation:

1. National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia

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.

Publisher

IGI Global

Subject

Multidisciplinary,General Engineering,General Business, Management and Accounting,General Computer Science

Reference32 articles.

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