Plagiarism Detection Based on a Novel Trie-based Approach
نویسندگان
چکیده
Nowadays, plagiarism detection becomes as one of major problems in the text mining field. New coming technologies have made plagiarisation easy and more feasible. Therefore, it is vital to develop automatic system to detect plagiarisation in different contents. In this paper, we propose a trie to compare source and suspicious text documents. We use PersianPlagDet text documents as a case study. Both character-based and knowledgebased techniques for detection purposes have improved our method. Besides, our fast algorithm for insertion and retrieval has made possible to compare long documents with high speed.
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تاریخ انتشار 2016