论文标题
窃检测系统的调查：与英语，法语和阿拉伯语一起使用的情况
A Survey of Plagiarism Detection Systems: Case of Use with English, French and Arabic Languages
论文作者
论文摘要
在学术界，窃时无疑并不是一个新兴的关注，但是随着互联网的普及以及易于获取全球内容来源的易于访问，它的范围更大，这使得仅人类的干预措施不足。尽管如此，窃并不是一个未解决的问题，因为计算机辅助的pla窃检测目前是一个积极的研究领域，它属于信息检索领域（IR）和自然语言处理（NLP）。许多软件解决方案出现了以帮助完成这项任务，本文概述了用于阿拉伯语，法语和英语学术和教育环境中的窃检测系统。进行了比较，在八个系统之间进行了比较，并在其特征，可用性，技术方面以及它们在检测来自不同来源的三个级别的混淆方面进行了比较：逐字，释义和跨语言窃。在这项研究的背景下，还对窃技术形式进行了深入研究。此外，还提供了对不同作者提出的窃类型和分类的调查。
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.
