The article gives an overview of the plagiarism domain, with focus on academic plagiarism. defines plagiarism, explains origin term, as well related terms. It identifies extent domain and then focuses subdomain text documents, for which it current classifications taxonomies proposes a more comprehensive classification according to several criteria: their purpose, technical implementation, conse...

This paper presents a new approach for Persian plagiarism detection. This approach uses a graph structure as well as one of the graph similarity methods (iterative methods) for similarity detection of two Persian documents. In this approach, documents are represented by a graph with specified length, then each part of suspicious document is compared to that of the source document. The graph is ...

As plagiarisers become cleverer, plagiarism detection becomes harder. Plagiarisers will find new ways to obfuscate the plagiarized passages so that humans and automatic plagiarism detectors are not able to point them out. So, a plagiarism detection system needs to be robust enough to detect plagiarism, no matter what obfuscation techniques have been applied. Our system attempts to do the same b...

Plagiarism, the unacknowledged reuse of text, does not end at language boundaries. Cross-language plagiarism occurs if a text is translated from a fragment written in a different language and no proper citation is provided. Regardless of the change of language, the contents and, in particular, the ideas remain the same. Whereas different methods for the detection of monolingual plagiarism have ...

This paper explains how collaborative efforts in terms of technology and content, can help improve plagiarism detection and prevention. It presents a web service oriented architecture, which utilizes the collective strength of various search engines, context matching algorithms and indexing contributed by users. The proposed framework is an open source tool, yet it is extremely efficient and ef...

Today, Plagiarism has become a menace. Every journal editor or conference organizers has to deal with this problem. Simply Copying or rephrasing of text without giving due credit to the original author has become more common. This is considered to be an Intellectual Property Theft. We are developing a Plagiarism Detection Tool which would deal with this problem. In this paper we discuss the com...

Recently, during the review process of submitted manuscripts, one of our journal reviewers informed me about a case of suspected plagiarism. I thanked the reviewer and checked the degree of copying and found blatant plagiarism. There was unattributed use of large portions of text from another source, including the abstract, materials and methods, and even the tables. According to the research e...

Increased access to the Internet has dramatically increased the sources from which students can deliberately or accidentally copy information. This paper discusses our motivation to design, implement, and deploy an Internet based plagiarism detection system, called PAIRwise, to address this growing problem. We give details as to how we detect plagiarism and the various development phases we wen...

Source code plagiarism is a common occurrence in undergraduate computer science education. In order to identify such cases, many source detection tools have been proposed. A tool evaluates pairs of assignment submissions detect indications plagiarism. However, plagiarising student will commonly apply plagiarism-hiding modifications an attempt evade detection. Subsequently, prior work has implie...

In this paper we report on our high-performance plagiarism detection system which is able to process the PAN plagiarism corpus for the external plagiarism detection task within relatively short timescales in contrast to previously reported state-of-the-art, and still produce a reasonable degree of performance (PAN 11, 4 place, PlagDet=0.2467329, Recall=0.1500480, Precision=0.7106536, Granularit...