  Plagiarism is the practice of claiming to be someone else content, thoughts
or ideas as one own without any proper credit and citations. This paper is a
survey paper that, represent the some of the great research paper and its
comparison that is work done on plagiarism. Now a days, plagiarism became one
of the most interesting and crucial research points in Natural Language
Processing area. We review some old research paper based on different types of
plagiarism detection and their models and algorithm, and comparison of the
accuracy of those papers. There are many several ways which are available for
plagiarism detection in different language. There are a few algorithms to
detecting plagiarism. Like, corpus, CL-CNG, LSI, Levenshtein Distance etc. We
analysis those papers, and learn that they used different types of algorithms
for detecting plagiarism. After experiment those papers, we got that some of
the algorithms give a better output and accuracy for detecting plagiarism. We
are going to give a review on some papers about Plagiarism and will discuss
about the pros and cons of their models. And we also show a propose method for
plagiarism detection method which based on sentience separation, word
separation and make sentence based on synonym and compare with any sources.
