Sir, the recent article on “Plagiarism in Scientific Publishing” by Masic is very interesting [1]. Masic described cases of plagiarism and concluded that “There is a dilemma: who, on what basis (criteria, standards, rules), when and how should declare someone a plagiarist [1]” and also mentioned for the importance of informatics tool to determine plagiarism. Indeed, it is the role of the journa...

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...

This paper presents our approach to detect plagiarism in the PAN’10 competition. To accomplish this task we applied a method which aims at detecting external plagiarism cases. The method is specially designed to detect crosslanguage plagiarism and is composed by five phases: language normalization, retrieval of candidate documents, classifier training, plagiarism analysis, and post-processing. ...

Plagiarism detection is the process of locating text reuse within a suspicious document. The plagiarism detection corpora are used for evaluating plagiarism detection systems. In this paper, we present a bilingual PersianEnglish plagiarism detection corpus. We provide our corpus for the task of text alignment corpus construction in the PAN 2015 competition. Our approach is based on parallel cor...

Currently used Plagiarism Detection Systems solely rely on textbased comparisons. They only deliver satisfying results if the plagiarized text is copied literally (copy&paste), with minor alterations (e.g. shake&paste) or is machine translated. However, if the text is paraphrased or translated by a human, the currently used methods yield a very poor performance. Using the words of Weber Wulff, ...

Determining the direction of plagiarism (who plagiarized whom in a given pair of documents) is one of the most interesting problems in the field of automatic plagiarism detection. We present here an approach using an extension of the method Encoplot, which won the 1st international competition on plagiarism detection in 2009. We have tested it on a large-scale corpus of artificial plagiarism, w...

Currently there are lots of plagiarism detection approaches. But few of them implemented and adapted for Persian languages. In this paper, our work on designing and implementation of a plagiarism detection system based on preprocessing and NLP technics will be described. And the results of testing on a corpus will be presented. Keywords— External Plagiarism, Plagiarism, Copy detection, natural ...

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...

The availability and use of computers in teaching has seen an increase in the rate of plagiarism among students because of the wide availability of electronic texts online. While computer tools that have appeared in recent years are capable of detecting simple forms of plagiarism, such as copy-paste, a number of recent research studies devoted to evaluation and comparison of plagiarism detectio...

Prevention and detection of plagiarism have formed the basis for many research projects, but student perceptions on plagiarism are arguably not well understood, and this is particularly true in the computing disciplines. This paper considers two aspects of the student experience, (i) the types of plagiaristic activity that students engage in, and (ii) the specific understanding of what plagiari...