Plagiarism Detection in Arabic Documents: Approaches, Architecture and

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. Subject Categories and Descriptors [H.3.1 Content Analysis and Indexing]: Linguistic processing; [I.2 Artificial Intelligencd]; Natural language interfaces: [I.2.7 Natural Language Processing]; Text Analysis; [I.2.3 Clustering]; Similarity Measures General Terms: Text Analysis, Arabic Language Processing, Similarity Detection