Design a Persian Automated Plagiarism Detector (AMZPPD)

Mahmoodi, Maryam, Varnamkhasti, Mohammad Mahmoodi

arXiv.org Artificial Intelligence 

Currently there are lots of plagiarism detection approaches. But few of them implemented and adapted for Persian languages. In this paper, our work on designing and implementation of a plagiarism detection system based on pre-processing and NLP technics will be described. And the results of testing on a corpus will be presented.

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