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Plagiarism means taking another person's work and not giving any credit tothem for it. Plagiarism is one of the most serious problems in academia andamong researchers. Even though there are multiple tools available to detectplagiarism in a document but most of them are domain-specific and designed towork in English texts, but plagiarism is not limited to a single language only.Bengali is the most widely spoken language of Bangladesh and the second mostspoken language in India with 300 million native speakers and 37 millionsecond-language speakers. Plagiarism detection requires a large corpus forcomparison. Bengali Literature has a history of 1300 years. Hence most BengaliLiterature books are not yet digitalized properly. As there was no such corpuspresent for our purpose so we have collected Bengali Literature books from theNational Digital Library of India and with a comprehensive methodologyextracted texts from it and constructed our corpus. Our experimental resultsfind out average accuracy between 72.10 % - 79.89 % in text extraction usingOCR. Levenshtein Distance algorithm is used for determining Plagiarism. We havebuilt a web application for end-user and successfully tested it for Plagiarismdetection in Bengali texts. In future, we aim to construct a corpus with morebooks for more accurate detection.

Plagiarism Detection in the Bengali Language: A Text Similarity-Based Approach