This paper presents a review of available algorithms and plagiarism detection systems، and an
implementation of Plagiarism Detection System using available search engines on the web.
Plagiarism detection in natural language documents is a complicat
ed problem and it is related to the
characteristics of the language itself.
There are many available algorithms for plagiarism detection in natural languages .Generally these
algorithms belong to two main categories ; the first one is plagiarism detection algorithms based on
fingerprint and the second is plagiarism detection algorithms based on content comparison and includes
string matching and tree matching algorithms .
Usually available systems of plagiarism detection use specific type of detection algorithms or use a
mixture of detection algorithms to achieve effective detection systems (fast and accurate).
In this research, a plagiarism detection system has been developed using Bing search engine and a
plagiarism detection algorithm based on Rhetorical Structure Theory.