Plagiarism Detection in Arabic Documents: Approaches, Architecture and Systems
Boubaker Kahloula, Jawad Berri
Journal of Digital Information Management, Vol. 14, No. 2, 2016.
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Abstract:
Plagiarism detection is a sensitive field of
research which has gained lot of interest in the past few
years. Although plagiarism detection systems are developed
to check text in a variety of languages, they perform
better when they are dedicated to check a specific language
as they take into account the specificity of the
language which leads to better quality results. Query optimization
and document reduction constitute two major
processing modules which play a major role in optimizing
the response time and the results quality of these systems
and hence determine their efficiency and effectiveness.
This paper proposes an analysis of approaches,
an architecture, and a system for detecting plagiarism in
Arabic documents. This analysis is particularly focused
on the methods and techniques used to detect plagiarism.
The proposed web-based architecture exhibits the
major processing modules of a plagiarism detection system
which are articulated into four layers inside a processing
component. The architecture has been used to
develop a plagiarism detection system for the Arabic language
proposing a set of functions to the user for checking
a text and analyzing the results through a well-designed
graphical user interface.