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Intrinsic Plagiarism Detection Using Character Trigram Distance Scores - Notebook for PAN at CLEF 2011

7 years 6 months ago
Intrinsic Plagiarism Detection Using Character Trigram Distance Scores - Notebook for PAN at CLEF 2011
Abstract In this paper, we describe a novel approach to intrinsic plagiarism detection. Each suspicious document is divided into a series of consecutive, potentially overlapping ‘windows’ of equal size. These are represented by vectors containing the relative frequencies of a predetermined set of high-frequency character trigrams. Subsequently, a distance matrix is set up in which each of the document’s windows is compared to each other window. The distance measure used is a symmetric adaptation of the normalized distance (nd1) proposed by Stamatatos [17]. Finally, an algorithm for outlier detection in multivariate data (based on Principal Components Analysis) is applied to the distance matrix in order to detect plagiarized sections. In the PAN-PC-2011 competition, this system (second place) achieved a competitive recall (.4279) but only reached a plagdet of .1679 due to a disappointing precision (.1075).
Mike Kestemont, Kim Luyckx, Walter Daelemans
Added 18 Dec 2011
Updated 18 Dec 2011
Type Journal
Year 2011
Where CLEF
Authors Mike Kestemont, Kim Luyckx, Walter Daelemans
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