On the application of spell correction to improve plagiarism detection

  • Authors:
  • Daniel Micol;Óscar Ferrández;Rafael Muñoz

  • Affiliations:
  • Department of Software and Computing Systems, University of Alicante, San Vicente del Raspeig, Alicante, Spain;Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States of America;Department of Software and Computing Systems, University of Alicante, San Vicente del Raspeig, Alicante, Spain

  • Venue:
  • NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
  • Year:
  • 2012

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Abstract

In this paper we present the accuracy gains that spell corrector systems can provide to the plagiarism detection task when the appropriations contain spelling mistakes. These may have been introduced on purpose to avoid detection systems from finding the aforementioned appropriations, which could happen specially if such systems are based on lexical similarities. This document will detail the components that we have developed for both plagiarism detection and spell correction, and the significant gains that their combination produces.