Automatic plagiarism detection among term papers

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.