Automatic plagiarism detection among term papers

Authors:
Takahisa Ota;Shigeru Masuyama
Affiliations:
Toyohashi University of Technology, Toyohashi, Japan;Toyohashi University of Technology, Toyohashi, Japan
Venue:
Proceedings of the 3rd International Universal Communication Symposium
Year:
2009

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Abstract

Recently, plagiarized term papers have become a serious problem. Therefore, we propose, in this paper, a method to detect plagiarized parts between two term papers. Our method is based on the Smith-Waterman algorithm that can detect similar parts between two molecules. Moreover, we experimented on our method using a document set consisting of actually submitted term papers and artificially-produced ones that plagiarized a paper written on the same theme. Experimental results show that our method attains higher accuracy than conventional ones.