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Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'06)
Plagiarism Detection through Multilevel Text Comparison
Leeds, UK
December 13-December 15
ISBN: 0-7695-2625-X
Manuel Zini, Universita di Firenze, Italy
Marco Fabbri, Universita di Firenze, Italy
Massimo Moneglia, Universita di Firenze, Italy
Alessandro Panunzi, Universita di Firenze, Italy
The paper presents the implementation of a tool for plagiarism detection developed within the AXMEDIS project. The algorithm leverages the plagiarist behaviour, which is modeled as a combination of 3 basical actions: insertion, deletion, substitution. We recognize that this behaviour may occur at various level of the document structure: the plagiarist may insert, delete or substitute a word, period or a paragraph. The procedure consists in two main steps: document structure extraction and plagiarism function calculation. We propose a recursive plagiarism evaluation function to be evaluated at each level of the document structure which is based on the Levenshtein edit distance. We also propose a method that will eliminate unnecessary chunks comparison, avoiding similarity calculation of chunks which do not share enough 4-grams. We describe the similarity algorithm and discuss some implementation issues and future work.
Citation:
Manuel Zini, Marco Fabbri, Massimo Moneglia, Alessandro Panunzi, "Plagiarism Detection through Multilevel Text Comparison," axmedis, pp.181-185, Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'06), 2006
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