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...

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 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...

Plagiarism detection is defined as automatic identification of reused text materials. General availability of the internet and easy access to textual information enhances the need for automated plagiarism detection. In this regard, different algorithms have been proposed to perform the task of plagiarism detection in text documents. Due to drawbacks and inefficiency of traditional methods and l...

Providing effective methods of identification of high-obfuscation plagiarism seeds presents a significant research problem in the field of plagiarism detection. The conventional methods of plagiarism detection are based on single type of features to capture plagiarism seeds. But for high-obfuscation plagiarism detection, these single type features are not sufficient for identifying the plagiari...

Efficient detection of plagiarism in programming assignments of students is of a great importance to the educational procedure. This paper presents a clustering oriented approach for facing the problem of source code plagiarism. The implemented software, called PDetect, accepts as input a set of program sources and extracts subsets (the clusters of plagiarism) such that each program within a pa...

ABSTRACT: The copying of programming assignments is a widespread problem in academic institutions. Manual plagiarism detection is time-consuming, and current popular plagiarism detection systems are not scalable to large code repositories. While there are text-based plagiarism detection systems capable of handling millions of student papers, comparable systems for codebased plagiarism detection...