نتایج جستجو برای: external plagiarism detection

تعداد نتایج: 750480  

Journal: :IEEE Access 2021

Source code plagiarism is a long-standing issue in tertiary computer science education. Many source detection tools have been proposed to aid the of plagiarism. However, existing are not robust pervasive plagiarism-hiding transformations and can be inaccurate plagiarised code. This article presents BPlag, behavioural approach detection. BPlag designed both accurate Greater robustness accuracy a...

2017
Zhenzhou Tian Ting Liu Eryue Zhuang Ming Fan

As multithreaded programs become increasingly popular, plagiarism of multithreaded programs starts to plague the software industry. Although there has been tremendous progress on software plagiarism detection technology, existing dynamic birthmark approaches are applicable only to sequential programs, due to the fact that thread scheduling nondeterminism severely perturbs birthmark generation a...

2009
Alberto Barrón-Cedeño Paolo Rosso

Automatic plagiarism detection considering a reference corpus compares a suspicious text to a set of documents in order to relate the plagiarised fragments to their potential source. The suspicious and source documents can be written wether in the same language (monolingual) or in different languages (crosslingual). In the context of the Ph. D., our work has been focused on both monolingual and...

2011
Tomáš Kučečka

Plagiarism is considered as a major problem these days especially in case of academic institutions. Very often students present someone else’s work as their own and they are given credit for it. Therefore, we have to integrate plagiarism checking into the submission process which includes usage of plagiarism detection software. In this paper we focus on vulnerabilities of this software from the...

2016

Academically dishonest behavior, such as cheating and plagiarism, presents a challenge on college campuses, exacerbated by new technologies which have increased the ease of academic dishonesty. The first section below provides material for promoting academic integrity in higher education. The second section focuses on resources for preventing and dealing with plagiarism in on-campus and online ...

2016

Academically dishonest behavior, such as cheating and plagiarism, presents a challenge on college campuses, exacerbated by new technologies which have increased the ease of academic dishonesty. The first section below provides material for promoting academic integrity in higher education. The second section focuses on resources for preventing and dealing with plagiarism in on-campus and online ...

2010
Jan Kasprzak Michal Brandejs

In this paper we describe our approach at the PAN 2010 plagiarism detection competition. We refer to the system we have used in PAN’09. We then present the improvements we have tried since the PAN’09 competition, and their impact on the results on the development corpus. We describe our experiments with intrinsic plagiarism detection and evaluate them. We then discuss the computational cost of ...

2009
Chiara Basile Giampaolo Cristadoro Dario Benedetto Emanuele Caglioti Mirko Degli Esposti

We present a detailed description of an algorithm tailored to detect external plagiarism in PAN-09 competition. The algorithm is divided into three steps: a first reduction of the size of the problem by a selection of ten suspicious plagiarists using a n-gram distance on properly recoded texts. A search for matches after T9-like recoding. A “joining algorithm” that merges selected matches and i...

2012
Simon Suchomel Jan Kasprzak Michal Brandejs

In this paper, we describe our approach at the PAN 2012 plagiarism detection competition. Our candidate retrieval system is based on extraction of three different types of web queries with narrowing their execution by skipping certain passages of an input document. Our detailed comparison system detects common features of input document pair, computing valid intervals from them, and then mergin...

2017
Jérémy Ferrero Laurent Besacier Didier Schwab Frédéric Agnès

This paper is a deep investigation of cross-language plagiarism detection methods on a new recently introduced open dataset, which contains parallel and comparable collections of documents with multiple characteristics (different genres, languages and sizes of texts). We investigate cross-language plagiarism detection methods for 6 language pairs on 2 granularities of text units in order to dra...

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