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...

<span lang="EN-US">Accountant educators are among those who blamed for scandals in practice because the journey of ethical learning is believed to begin college. Therefore, this study investigated perceptions accountant about environment colleges and plagiarism behavior. More specifically, compared in: i) State private universities; ii) A-accredited universities B-accredited universities,...

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 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 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...