Plagiarism in the sense of “theft of intellectual property” has been around for as long as humans have produced work of art and research. However, easy access to the Web, large databases, and telecommunication in general, has turned plagiarism into a serious problem for publishers, researchers and educational institutions. In this paper, we concentrate on textual plagiarism (as opposed to plagi...

Plagiarism has been troubling academic world since long. With the invention of electronic resources like internet in recent times, it has become easier and more accessible for students than ever before. Practice of plagiarism by students has resulted negative consequences in the academic field, and university teachers are now facing problems that are more challenging. This has led to the produc...

Plagiarism is a common place in academics, especially in courses involving programming. In this paper, XPDec, an XML-based model is introduced to detect similarities among programs that arise under plagiarism. Based upon the syntax of a specific programming language, XPDec uses an XML scheme that is suitable for the detection of plagiarism. XML documents are generated from given program sources...

Plagiarism detection has been considered as a classification problem which can be approximated with intrinsic strategies, considering self-based information from a given document, and external strategies, considering comparison techniques between a suspicious document and different sources. In this work, both intrinsic and external approaches for plagiarism detection are presented. First, the m...

Detecting academic plagiarism is a pressing problem, e.g., for educational and research institutions, funding agencies, and academic publishers. Existing plagiarism detection systems reliably identify (nearly) copied text, but o‰en fail to detect disguised forms of academic plagiarism, such as paraphrases, translations, and idea plagiarism. We present Semantic Concept PaŠern Analysis an approac...

Nowadays, plagiarism has been presented as one of the main distresses that the information technology revolution has lead into our society for which using pattern matching algorithms and intelligent data analysis approaches, these practices could be identified. Furthermore, a fast document copy detection algorithm could be used in large scale applications for plagiarism detection in academia, s...

This paper outlines the main approach and the general design of the plagiarism detection prototype application we have developed to take part in the 2nd International Plagiarism Detection Competition. The developed system is a part of the larger application used at Zhytomyr State University as CMS Thesis Storage and comes under the title "Plagiarism Detector Accumulator". This application proto...

This paper overviews 18 plagiarism detectors that have been developed and evaluated within PAN’10. We start with a unified retrieval process that summarizes the best practices employed this year. Then, the detectors’ performances are evaluated in detail, highlighting several important aspects of plagiarism detection, such as obfuscation, intrinsic vs. external plagiarism, and plagiarism case le...

Many researchers have been investigating the task of plagiarism detection lately. In this paper we present RDI system for intrinsic plagiarism detection (RDI_RID). RDI_RID system was the only system that participated in intrinsic track of the Arabic language plagiarism detection competition. RDI_RID system achieved a PlagDet (Plagiarism Detection score) of 19% compared to 38% achieved by the ba...

External plagiarism detection is a unique retrieval process where the algorithm has to provide an evidence of plagiarism if any for a suspicious section from the pool of source documents available. This paper focuses on paraphrasing involved in detection of plagiarism both from monolingual and cross-lingual aspect. In order to investigate the challenges in detection, we further analyse the perf...