This paper reports the best performed approach followed for the candidate document retrieval task and the approach used for the detailed comparison task of the Plagiarism detection track in PAN 2012. The aim of the participation was to understand a few of the computer-assisted approaches used for plagiarism detection. The plagiarism detection is dependent on two broad tasks, (1) the candidate d...

In this work we describe the construction of a plagiarism detection/text reuse corpus submitted for the PAN-2015 Evaluation Lab. Our corpus consists of four different text reuse scenarios namely, (1) no-plagiarism, (2) story-retelling, (3) synonym-replacement and (4) character-substitution. Among these scenarios the most interesting one is story retelling through it we find patterns of textual ...

The task of (monolingual) text alignment consists in finding similar text fragments between two given documents. It has applications in plagiarism detection, detection of text reuse, author identification, authoring aid, and information retrieval, to mention only a few. We describe our approach to the text alignment subtask at PAN 2014 plagiarism detection competition. Our method relies on a se...

Plagiarism of programming assignment solutions can be detected via a range of plagiarism detection tools, as long as the originally authored work is accessible electronically. For some time now, our school has used plagiarism detection software over all submissions of programming assignments in selected courses. The use of such software has provided a viable mechanism for catching such cheating...

The task of (monolingual) text alignment consists in finding similar text fragments between two given documents. It has applications in plagiarism detection, detection of text reuse, author identification, authoring aid, and information retrieval, to mention only a few. We describe our approach to the text alignment subtask of the plagiarism detection competition at PAN 2014, which resulted in ...

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 ...