Design a Persian Automated Plagiarism Detector (AMZPPD)
arXiv:1403.1618v115 citations
Originality Synthesis-oriented
AI Analysis
This addresses the problem of plagiarism detection for Persian language users, but it is incremental as it adapts existing methods to a new language.
The paper tackled the lack of plagiarism detection systems for Persian languages by designing and implementing a system using pre-processing and NLP techniques, and presented results from testing on a corpus.
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.