Plagiarism in universities has always been a difficult problem to overcome. Various tools have been developed over the past few years to help teachers detect plagiarism in students’ work. By being able to categorize the multitude of plagiarism detection tools, it is possible to estimate their capabilities, advantages and disadvantages. In this article I consider modern plagiarism software solut...

In this paper, a plagiarism detection tool for plagiarism detection in Malayalam documents is presented. Many language-sensitive tools for detecting plagiarism in natural language documents have been developed, particularly for English. Detecting plagiarism in Malayalam documents is particularly a challenging task because of the complex linguistic structure of Malayalam. The plagiarism detectio...

In this paper, a plagiarism detection tool for plagiarism detection in Malayalam documents is presented. Many language-sensitive tools for detecting plagiarism in natural language documents have been developed, particularly for English. Detecting plagiarism in Malayalam documents is particularly a challenging task because of the complex linguistic structure of Malayalam. The plagiarism detectio...

In this paper, a plagiarism detection tool for plagiarism detection in Malayalam documents is presented. Many language-sensitive tools for detecting plagiarism in natural language documents have been developed, particularly for English. Detecting plagiarism in Malayalam documents is particularly a challenging task because of the complex linguistic structure of Malayalam. The plagiarism detectio...

Hugely facilitated by the Internet, plagiarism by students threatens educational quality and professional ethics worldwide. Plagiarism reduces learning and is correlated with increased fraud and inefficiency on the job, thus lessening competitiveness and hampering development. In this context, the present research examines 48 licenciatura theses and 102 masters theses from five of Mozambique’s ...

In this paper we introduce Mahak Samim, a plagiarism detection corpus that consists of Persian academic texts in which plagiarism cases are embedded. This corpus, which can be used for evaluating plagiarism detection systems, consists of more than five thousand artificial plagiarism cases with various lengths and diverse degrees of obfuscation. The development process and the features of the co...

A new, graph based research document clustering technique (GRD-Clust) is introduced based on frequent senses rather than frequent keywords as per the traditional document clustering techniques.GRDClust presents text documents as hierarchal document-graphs and utilizes an Apriori paradigm to find the frequent sub graphs, which reflect frequent senses based on support and confidence. We highlight...

This paper overviews eleven plagiarism detectors that have been developed and evaluated within PAN’11. We survey the detection approaches developed for the two sub-tasks “external plagiarism detection” and “intrinsic plagiarism detection,” and we report on their detailed evaluation based on the third revised edition of the PAN plagiarism corpus PAN-PC-11.

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 ...

Plagiarism detection is well known phenomenon in the academic arena. Copying other people is considered as serious offence that needs to be checked. There are many plagiarism detection systems such as turn-it-in that has been developed to provide this checks. Most, if not all, discard the figures and charts before checking for plagiarism. Discarding the figures and charts results in look holes ...