When automatic plagiarism detection is carried out considering a reference corpus, a suspicious text is compared to a set of original documents in order to relate the plagiarised text fragments to their potential source. One of the biggest difficulties in this task is to locateplagiarised fragments that have been modified (by rewording, insertion or deletion, for example) from the source text. The definition of proper text chunks as comparison units of the suspicious and original texts is crucial for the success of this kind of applications. Our experiments with the METER corpus show that the best results are obtained when considering low level word n-grams comparisons (n = 2, 3). © Springer-Verlag Berlin Heidelberg 2009.
On automatic plagiarism detection based on n-grams comparison / Barron-Cedeno A.; Rosso P.. - ELETTRONICO. - 5478:(2009), pp. 696-700. (Intervento presentato al convegno 31th European Conference on Information Retrieval, ECIR 2009 tenutosi a Toulouse, fra nel 2009) [10.1007/978-3-642-00958-7_69].
On automatic plagiarism detection based on n-grams comparison
Barron-Cedeno A.;
2009
Abstract
When automatic plagiarism detection is carried out considering a reference corpus, a suspicious text is compared to a set of original documents in order to relate the plagiarised text fragments to their potential source. One of the biggest difficulties in this task is to locateplagiarised fragments that have been modified (by rewording, insertion or deletion, for example) from the source text. The definition of proper text chunks as comparison units of the suspicious and original texts is crucial for the success of this kind of applications. Our experiments with the METER corpus show that the best results are obtained when considering low level word n-grams comparisons (n = 2, 3). © Springer-Verlag Berlin Heidelberg 2009.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
