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In academia, plagiarism is certainly not an emerging concern, but it becameof a greater magnitude with the popularisation of the Internet and the ease ofaccess to a worldwide source of content, rendering human-only interventioninsufficient. Despite that, plagiarism is far from being an unaddressedproblem, as computer-assisted plagiarism detection is currently an active areaof research that falls within the field of Information Retrieval (IR) andNatural Language Processing (NLP). Many software solutions emerged to helpfulfil this task, and this paper presents an overview of plagiarism detectionsystems for use in Arabic, French, and English academic and educationalsettings. The comparison was held between eight systems and was performed withrespect to their features, usability, technical aspects, as well as theirperformance in detecting three levels of obfuscation from different sources:verbatim, paraphrase, and cross-language plagiarism. An indepth examination oftechnical forms of plagiarism was also performed in the context of this study.In addition, a survey of plagiarism typologies and classifications proposed bydifferent authors is provided.

A Survey of Plagiarism Detection Systems: Case of Use with English, French and Arabic Languages