Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


Datenbanksysteme für Business, Technologie und Web (BTW) P-214, 241-260 (2013).

Gesellschaft für Informatik, Bonn
2013


Copyright © Gesellschaft für Informatik, Bonn

Contents

Detecting plagiarism in text documents through grammar-analysis of authors

Michael Tschuggnall and Günther Specht

Abstract


The task of intrinsic plagiarism detection is to find plagiarized sections within text documents without using a reference corpus. In this paper, the intrinsic detection approach Plag-Inn is presented which is based on the assumption that authors use a recognizable and distinguishable grammar to construct sentences. The main idea is to analyze the grammar of text documents and to find irregularities within the syntax of sentences, regardless of the usage of concrete words. If suspicious sentences are found by computing the pq-gram distance of grammar trees and by utilizing a Gaussian normal distribution, the algorithm tries to select and combine those sentences into potentially plagiarized sections. The parameters and thresholds needed by the algorithm are optimized by using genetic algorithms. Finally, the approach is evaluated against a large test corpus consisting of English documents, showing promising results.


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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-608-4


Last changed 04.10.2013 18:38:51