剽窃：分类、工具和检测技术
Plagiarism: Taxonomy, Tools and Detection Techniques
摘要：
要检测任何形式的剽窃，必须广泛了解其可能的形式和类别，以及各种检测工具和系统的存在。基于影响或损害的严重程度，剽窃可能以多种方式发生在一篇文章或任何作品中。本调查对各种剽窃形式进行了分类，并对每种形式进行了讨论。多年来，许多工具和技术已经被引入来检测剽窃。本文重点介绍了几种基于机器学习技术的剽窃检测方法。我们分析了这些方法的利弊，最后我们强调了这个不断发展的研究问题相关的问题和研究挑战的列表。
英文摘要：
To detect plagiarism of any form, it is essential to have broad knowledge of its possible forms and classes, and existence of various tools and systems for its detection. Based on impact or severity of damages, plagiarism may occur in an article or in any production in a number of ways. This survey presents a taxonomy of various plagiarism forms and include discussion on each of these forms. Over the years, a good number tools and techniques have been introduced to detect plagiarism. This paper highlights few promising methods for plagiarism detection based on machine learning techniques. We analyse the pros and cons of these methods and finally we highlight a list of issues and research challenges related to this evolving research problem.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
