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Plag-Inn: Intrinsic Plagiarism Detection Using Grammar Trees

  • Michael Tschuggnall
  • Günther Specht
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7337)

Abstract

Intrinsic plagiarism detection deals with the task of finding plagiarized sections of text documents without using a reference corpus. This paper describes a novel approach to this task by processing and analyzing the grammar of a suspicious document. The main idea is to split a text into single sentences and to calculate grammar trees. To find suspicious sentences, these grammar trees are compared in a distance matrix by using the pq-gram-distance, an alternative for the tree edit distance. Finally, significantly different sentences regarding their grammar and with respect to the Gaussian normal distribution are marked as suspicious.

Keywords

intrinsic plagiarism detection grammar trees stylistic inconsistencies pq-gram distance NLP applications 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Michael Tschuggnall
    • 1
  • Günther Specht
    • 1
  1. 1.Databases and Information SystemsInstitute of Computer Science, University of InnsbruckAustria

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