A Review on diverse algorithms used in the context of Plagiarism Detection

Abstract

Natural language processing is independent field of aI (artificial intelligence) that basically helps computer systems and mobile devices to understand, interpret and manipulate human language. This paper has been designed in three sections, in which section A is all about the basics of natural language processing, the technicalities and all its applications, section B is discussing about one of the major applications of natural language processing, which is plagiarism detection, in this section of paper we discussed about all possible techniques used by authors for detecting plagiarism. In section c we discussed the common findings and all key issues in the field of plagiarism, possible solution approaches and methodologies applied by different authors and compared them on different parameters. A detailed 5-stage review process has beenconducted for various research papers, in this we have sharply reviewed all the related work in last 20 years, extracted the main gaps and false situations in the research. With common findings we discussed all the strengths and shortcomings of the used methodologies.