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...

Anti-plagiarism tools are currently used in a large number of institutions to perform an initial assessment of students’ essays, enabling an automated approach to the identification of plagiarised work. This paper presents evidence that students are moving from “copy and paste” plagiarism, which can be detected by anti-plagiarism software, to more complex forms of plagiarism using a variety of ...

The automated detection of plagiarism is an information retrieval task of increasing importance as the volume of readily accessible information on the web expands. A major shortcoming of current automated plagiarism detection approaches is their dependence on high character-based similarity. As a result, heavily disguised plagiarism forms, such as paraphrases, translated plagiarism, or structur...

Plagiarism remains at the top in terms of interest to the scientific community. In its many vicious forms, patchwork plagiarism is characterized by numerous unresolved issues and often passes "below the radar" of editors and reviewers. The problem of detecting the complexity of misconduct has been partially resolved by plagiarism detection software. However, interpretation of relevant reports i...

Self-plagiarism is a controversial issue in scientific writing and presentation of research data. Unlike plagiarism, self-plagiarism is difficult to interpret as intellectual theft under the justification that one cannot steal from oneself. However, academics are concerned, as self-plagiarized papers mislead readers, do not contribute to science, and bring undeserved credit to authors. As such,...