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A Plagiarism Detection Approach Based on SVM for Persian Texts
2016
Forum for Information Retrieval Evaluation
Plagiarism is defined as an unauthorized act of using or adapting others' works and ideas without referring to them. Numerous methods have been proposed to detect plagiarism in different languages; however, not a lot has been accomplished in Persian. The present study has utilized statistical and semantic features to determine the functionality of Support Vector Machines (SVMs) in detecting acts of plagiarism in Persian. To increase accuracy, a stemmer was designed to stem Persian words. The
dblp:conf/fire/EstekiE16
fatcat:tlxdq4xxkfcjhcq3hwqisppih4