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Plagiarism Detection in Marathi Language Using Semantic Analysis

Author

Listed:
  • Ramesh Ram Naik

    (Dr. B.A.M. University, Aurangabad, India)

  • Maheshkumar B. Landge

    (Department of CS and IT, Dr. B.A.M. University, Aurangabad, India)

  • Namrata Mahender C.

    (Department of CS and IT, Dr. B.A.M. University, Aurangabad, India)

Abstract

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.

Suggested Citation

  • Ramesh Ram Naik & Maheshkumar B. Landge & Namrata Mahender C., 2017. "Plagiarism Detection in Marathi Language Using Semantic Analysis," International Journal of Strategic Information Technology and Applications (IJSITA), IGI Global, vol. 8(4), pages 30-39, October.
    • Handle: RePEc:igg:jsita0:v:8:y:2017:i:4:p:30-39
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