¹ Graduate School of Engineering, Hiroshima University, Japan
² The Center for Advanced Computer Studies, University of Louisiana at Lafayette, USA

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Abstract—In this paper, for the first time, we present a bilingual plagiarism detection system, BAENPD that can detect plagiarism from electronic Bangla and English documents. It uses two different methods for detecting plagiarism. The first method is based on the analysis of individual contents of the documents, whereas second technique performs several statistical analysis of the documents. The system has been evaluated by real documents. We have found that our system can efficiently detect plagiarism between English and Bangla documents as well as from the documents of same language.

Index Terms—Plagiarism, statistical analysis, query execution, documents relevancy, root detection.

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Cite: Mohammad Shamsul Arefin, Yasuhiko Morimoto, Mohammad Amir Sharif, " BAENPD: A Bilingual Plagiarism Detector," Journal of Computers vol. 8, no. 5, pp. 1145-1156, 2013.