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...

Plagiarism in the sense of “theft of intellectual property” has been around for as long as humans have produced work of art and research. However, easy access to the Web, large databases, and telecommunication in general, has turned plagiarism into a serious problem for publishers, researchers and educational institutions. In this paper, we concentrate on textual plagiarism (as opposed to plagi...

Plagiarism has been troubling academic world since long. With the invention of electronic resources like internet in recent times, it has become easier and more accessible for students than ever before. Practice of plagiarism by students has resulted negative consequences in the academic field, and university teachers are now facing problems that are more challenging. This has led to the produc...

Plagiarism is a common place in academics, especially in courses involving programming. In this paper, XPDec, an XML-based model is introduced to detect similarities among programs that arise under plagiarism. Based upon the syntax of a specific programming language, XPDec uses an XML scheme that is suitable for the detection of plagiarism. XML documents are generated from given program sources...

Plagiarism detection has been considered as a classification problem which can be approximated with intrinsic strategies, considering self-based information from a given document, and external strategies, considering comparison techniques between a suspicious document and different sources. In this work, both intrinsic and external approaches for plagiarism detection are presented. First, the m...