Plagiarism Detection in Marathi Language Using Semantic Analysis
In this article, the authors have proposed a method to detect plagiarism in the Marathi language by using semantic analysis. Nowadays, plagiarism is a challenging task in educational and research fields. Currently, there are some tools available to detect the plagiarism on the basis of similarity of words. But there is no tool available to detect the plagiarism semantically. In this article, the authors have applied preprocessing to a database i.e. tokenization, removed stop words and punctuations, for the goal of calculating the frequency of words. Then searching the same word or synonyms of words in wordnet to detect the semantic plagiarism. It is useful for many researchers who are working in this domain.
Year of publication: |
2017
|
---|---|
Authors: | Naik, Ramesh Ram ; Landge, Maheshkumar B. ; Namrata Mahender C. |
Published in: |
International Journal of Strategic Information Technology and Applications (IJSITA). - IGI Global, ISSN 1947-3109, ZDB-ID 2703780-0. - Vol. 8.2017, 4 (01.10.), p. 30-39
|
Publisher: |
IGI Global |
Subject: | Plagiarism Detection | Semantic Plagiarism | Tokenization | Word net |
Saved in:
Saved in favorites
Similar items by subject
-
Multi-Agents Machine Learning (MML) System for Plagiarism Detection
Bouarara, Hadj Ahmed, (2016)
-
BHA2: Bio-inspired Algorithm and Automatic Summarisation for Detecting Different Types of Plagiarism
Bouarara, Hadj Ahmed, (2017)
-
Source Code Plagiarism Detection Using Biological String Similarity Algorithms
Rahal, Imad, (2014)
- More ...