Open AccessOnline Assignment Plagiarism Detector
Author(s) -
Nikhil Paymode,
Rahul Kumar Yadav,
Sudarshan Vichare,
Suvarna I. Bhoir
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1057
Subject(s) - copying , plagiarism detection , computer science , newspaper , the internet , matching (statistics) , rank (graph theory) , natural (archaeology) , string (physics) , world wide web , nothing , word (group theory) , mathematics education , natural language processing , information retrieval , artificial intelligence , linguistics , psychology , mathematics , advertising , philosophy , statistics , archaeology , epistemology , combinatorics , political science , law , business , mathematical physics , history
Plagiarism is a big intricacy for companies, Schools, Colleges, and those who published their document on the web. In-Schools and Colleges maximum students write their assignments and experiments by copying other documents. Using this system teachers and examiners can detect the documents and sheets either it is written by a respective student or it is copied from someone else. For checking plagiarism the system takes two or more documents as a input and after using string matching algorithms, NLP ( natural language processing) technique, as well as an NLTK toolkit (natural language toolkit), produces output. In the output, the system returns some score which is an interval of 0 to 1. Where 1 and 0 refer to exactly similar and nothing is similar (Unique) respectively. If a score between 0 to 1 then it shows only some part of the document is similar. The main objective of the system is to find the more accurate plagiarism content in the documents with similar meanings and concepts that are correctly identified in an efficient manner. It is very easy to copy the data from different sources which includes the internet, papers, books over the internet, newspapers, etc. there is a need of detecting plagiarism to increase and improve the learning of students. To solve this problem, a student program plagiarism detection approach is proposed based on Natural Language Processing.