Novel Features for plagiarism detection in Marathi Language

Authors

  • Ramesh R. Naik  Department of CS and IT, Dr.B.A.M.University, Aurangabad, Maharashtra, India
  • Maheshkumar B. Landge  Department of CS and IT, Dr.B.A.M.University, Aurangabad, Maharashtra, India
  • C. Namrata Mahender  Department of CS and IT, Dr.B.A.M.University, Aurangabad, Maharashtra, India

Keywords:

Plagiarism Detection, Feature Extraction, Stylometric Features.

Abstract

Plagiarism is stealing information or idea from someone without giving proper acknowledgement. Currently plagiarism is increasing in different fields like education, industry. There is need to prevent plagiarism. There are four types of stylometric features available namely: lexical, syntactic, semantic, content specific. In this paper we have added three new features for detecting plagiarism namely noun, adjective and rhyming words. For calculating these features, we have used our own Marathi text corpus. These features will be useful for detecting plagiarism and linguistic researchers.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ramesh R. Naik, Maheshkumar B. Landge, C. Namrata Mahender, " Novel Features for plagiarism detection in Marathi Language, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.851-853, January-February-2018.