On Automatic Plagiarism Detection Based on n-Grams Comparison

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 locate plagiarised 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}).

• Type: Conference
• Year: 2009
• Where: ECIR
• Authors: Alberto Barrón-Cedeño, Paolo Rosso
• Keywords: Computer Science, ECIR 2009, Proper Text Chunks, Suspicious Text, Text Fragments