In academia, plagiarism is certainly not an emerging concern, but it became
of a greater magnitude with the popularisation of the Internet and the ease of
access to a worldwide source of content, rendering human-only intervention
insufficient. Despite that, plagiarism is far from being an unaddressed
problem, as computer-assisted plagiarism detection is currently an active area
of research that falls within the field of Information Retrieval (IR) and
Natural Language Processing (NLP). Many software solutions emerged to help
fulfil this task, and this paper presents an overview of plagiarism detection
systems for use in Arabic, French, and English academic and educational
settings. The comparison was held between eight systems and was performed with
respect to their features, usability, technical aspects, as well as their
performance in detecting three levels of obfuscation from different sources:
verbatim, paraphrase, and cross-language plagiarism. An indepth examination of
technical forms of plagiarism was also performed in the context of this study.
In addition, a survey of plagiarism typologies and classifications proposed by
different authors is provided.

本文综合比较了使用于阿拉伯语、法语和英语学术和教育场景中的八种抄袭检测系统，评估这些系统对原词抄袭、改写抄袭和跨语言抄袭等三个层次的检测效果及其特点、可用性、技术方面的表现并深入研究了技术类抄袭的形式，同时提供了不同作者提出的抄袭类型和分类的调研。