This study uses purpose-built test data and empirical experiments to report on the performance of four web plagiarism detection systems: TurnitIn, SafeAssignment, Plagiarism-Finder and EVE. In addition to measuring accuracy of detection, we evaluated the extent to which these systems produce false detections. We obtained the test data from multiple sources and edited it in several ways to conce...

Plagiarism is a problem in many education institutions around the world. Preventing digital plagiarism requires enormous amount of work from educator. In this paper we concentrate on implementation of well known anti-plagiarism algorithm for local and global search for the original source of plagiarized assignment. We first discuss problems in the implementation of existing anti-plagiarism syst...

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...