AraPlagDet is the first shared task that addresses the evaluation of plagiarism detection methods for Arabic texts. It has two subtasks, namely external plagiarism detection and intrinsic plagiarism detection. A total of 8 runs have been submitted and tested on the standardized corpora developed for the track. This overview paper describes these evaluation corpora, discusses the participants’ m...

Plagiarism detection can be divided in external and intrinsic methods. Naive external plagiarism analysis suffers from computationally demanding full nearest neighbor searches within a reference corpus. We present a conceptually simple space partitioning approach to achieve search times sub linear in the number of reference documents, trading precision for speed. We focus on full duplicate sear...

The Internet boom in recent years has increased the interest in the field of plagiarism detection. A lot of documents are published on the Net everyday and anyone can access and plagiarize them. Of course, checking all cases of plagiarism manually is an unfeasible task. Therefore, it is necessary to create new systems that are able to automatically detect cases of plagiarism produced. In this p...

This paper overviews 18 plagiarism detectors that have been evaluated within the fifth international competition on plagiarism detection at PAN 2013. We report on their performances for the two tasks source retrieval and text alignment of external plagiarism detection. Furthermore, we continue last year’s initiative to invite software submissions instead of run submissions, and, re-evaluate thi...

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...

This paper overviews 15 plagiarism detectors that have been evaluated within the fourth international competition on plagiarism detection at PAN’12. We report on their performances for two sub-tasks of external plagiarism detection: candidate document retrieval and detailed document comparison. Furthermore, we introduce the PAN plagiarism corpus 2012, the TIRA experimentation platform, and the ...

The plagiarism detection system described in this paper is aiming at bringing external plagiarism detection to the desktop. The main ideas are to incorporate standard IR technologies for the candidate selection and efficient data structures for the detailed analysis between a suspicious and a candidate document. Given that the system so far has only reached prototype status, the first results l...

This paper reports about the development of a Plagiarism detection system as a part of the Plagiarism detection task in PAN 2011. The external plagiarism detection problem has been solved with the help of Nutch, an open source Information Retrieval (IR) system. The system contains three phases – knowledge preparation, candidate retrieval and plagiarism detection. From the source documents, know...

This paper describes the University of Sheffield entry for the 3rd International Competition on Plagiarism Detection which attempted the monolingual external plagiarism detection task. A three stage framework was used: preprocessing and indexing, candidate document selection (using an Information Retrieval based approach) and detailed analysis (using the Running Karp-Rabin Greedy String Tiling ...

In this paper a new approach is shown for a very fast monolingual external plagiarism detection system based on an altered n-gram concept (contextual n-gram), a new high precision contextual Information Retrieval engine, and a new pruning strategy (Referential Monotony) for plagiarism detection and its limits. The assessment results can be compared with the carried out by the winner team at PAN...