Paper Info
Title
A Detection Method for Plagiarism Reports of Students.
Abstract
In recent years, plagiarism that uses the sentences or phrases of others without permission has become a social problem. It is widely spread from very familiar student reports to novels and worldwide academic papers. In this paper, we deal with plagiarism in student reports, and explain the plagiarism patterns often found there. Then we propose a method to detect them efficiently and accurately. This method is based on the way of making two texts to be compared with into one-dimension string respectively, repeating shift and mutual comparison, and checking the matching section of words. This method can accurately detect perfect matches of any size, regardless of its placement in the text. To this basic detection method, we combine some heuristics which are estimation of detection possibility and compression of strings, to improve both detection accuracy of the plagiarism sections and the reduction of calculation time, and propose it as a plagiarism detection method. This method has only one parameter for plagiarism judgement, and it is also intuitive and easy to set. Finally, we show the effectiveness of the proposed method, especially the introduced heuristics, using real data. (C) 2019 The Authors. Published by Elsevier B.V.
Year
DOI
Venue
2019
10.1016/j.procs.2019.09.303
Procedia Computer Science
Keywords
Field
DocType
Pragiarism,Heuristics
Permission,Plagiarism detection,Computer science,Judgement,Heuristics,Artificial intelligence,Natural language processing,Machine learning
Conference
Volume
ISSN
Citations 
159
1877-0509
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Daisuke Sakamoto127026.52
Kazuhiko Tsuda210847.18