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...

Cross-language plagiarism detection attempts to identify and extract automatically plagiarism among documents in different languages. Plagiarized fragments can be translated verbatim copies or may alter their structure to hide the copying, which is known as paraphrasing and is more difficult to detect. In order to improve the paraphrasing detection, we use a knowledge graph-based approach to ob...

To detect plagiarism of any form, it is essential to have broad knowledge of its possible forms and classes, and existence of various tools and systems for its detection. Based on impact or severity of damages, plagiarism may occur in an article or in any production in a number of ways. This survey presents a taxonomy of various plagiarism forms and include discussion on each of these forms. Ov...

The task of text alignment corpus construction at PAN 2015 competition consists of preparing a plagiarism corpus so that it can provide various obfuscation types and versatile obfuscation degrees. Meanwhile, its format and metadata structure should follow previous PAN plagiarism corpora. In this paper, we describe our approach for construction of a monolingual Persian plagiarism corpus that can...

This paper describes how a Persian text alignment corpus was constructed to evaluate plagiarism detection systems. This corpus is in PAN format and contains 11,089 documents and more than 11,603 plagiarism cases. Efforts were made to simulate various types of plagiarism manually, semi-automatically, or automatically in this large-scale corpus.

In the age of information technology intellectual property becomes especially valuable. This is one of the causes why the cases of the plagiarism appear more frequently in all vital sectors. Due to that, there is a growing need for different instruments for the protection and verification of copyright for finding plagiarism. Before checking the document for plagiarism, reviewing algorithms and ...

In the Open University environment where students are not centrally located and are not under any direct supervision the potential for plagiarism definitely exists. The very technology that facilitates open learning also allows easy exchange of papers among peers. Students can also easily access “paper-mills” where essays can be quickly customised to suit requirements, for a fee. There is also ...

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...

Plagiarism in programming courses has increased in recent years. Therefore, courses need to be adapted in concept and organization. A relentless pursuit of plagiarizing or the ineffective attempt to completely suppress all communication in the classroom are certainly as inadequate approaches as the installation of an offline plagiarism detection tool without a proper feedback mechanism for the ...