In this paper we report on our high-performance plagiarism detection system which is able to process the PAN plagiarism corpus for the external plagiarism detection task within relatively short timescales in contrast to previously reported state-of-the-art, and still produce a reasonable degree of performance (PAN 11, 4 place, PlagDet=0.2467329, Recall=0.1500480, Precision=0.7106536, Granularit...

Many language-sensitive tools for detecting plagiarism in natural language documents have been developed, particularly for English. Languageindependent tools exist as well, but are considered restrictive as they usually do not take into account specific language features. Detecting plagiarism in Arabic documents is particularly a challenging task because of the complex linguistic structure of A...

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...

Document plagiarism means the unauthorized use of the original document of another author without recognition of the source. With the development of the Internet, the volume of digital information available and easily accessible has increased massively and detecting plagiarism manually is so expensive in terms of both time and effort. Although many copy detection techniques for digital document...

In this paper, we describe our text alignment algorithm that achieved the first rank in Persian Plagdet 2016 competition. The Persian Plagdet corpus includes several obfuscation strategies. Information about the type of obfuscation helps plagiarism detection systems to use their most suitable algorithm for each type. For this purpose, we use SVM neural network for classification of documents ac...

With the arrival of digital era and Internet, the lack of information control provides an incentive for people to freely use any content available to them. Plagiarism occurs when users fail to credit the original owner for the content referred to, and such behavior leads to violation of intellectual property. Two main approaches to plagiarism detection are fingerprinting and term occurrence; ho...

Academically dishonest behavior, such as cheating and plagiarism, presents a challenge on college campuses, exacerbated by new technologies which have increased the ease of academic dishonesty. The first section below provides material for promoting academic integrity in higher education. The second section focuses on resources for preventing and dealing with plagiarism in on-campus and online ...

This paper describes approaches used for the Plagiarism Detection task in PAN 2013 international competition on uncovering plagiarism, authorship, and social software misuse. We present modified three-way search methodology for Source Retrieval subtask and analyse snippet similarity performance. The results show, that presented approach is adaptable in real-world plagiarism situations. For the ...

The problem of plagiarism detection system design is a subject of numerous works of the last decades. Various advanced file-file comparison techniques were developed. However, most existing systems, aimed at natural language texts, do not perform any significant preprocessing of the input documents. So in many cases it is possible to hide the presence of plagiarism by utilizing some simple tech...

I read the editorial titled “The detection of plagiarism” with great interest. It is noted that “Faced with this challenge, the editorial board of our journal has decided to introduce CrossCheck. Similar to the case of the Croatian Medical Journal, the plagiarism detection procedure consists of automatic scanning of manuscripts using the software (CrossCheck) and manual verification of manuscri...