Almquist, Per and Karlgren, Jussi (2011) Experiments to investigate the utility of nearest neighbour metrics based on linguistically informed features for detecting textual plagiarism. In: NoDaLiDa'11 (Nordiska Datalingvistikdagarna) , 11-13 May 2011, Riga, Latvia.
Plagiarism detection is a challenge for linguistic models — most current implemented models use simple occurrence statistics for linguistic items. In this paper we report two experiments related to plagiarism detection where we use a model for distributional semantics and of sentence stylistics to compare sentence by sentence the likelihood of a text being partly plagiarised. The result of the comparison are displayed for visual inspection by a plagiarism assessor.
|Item Type:||Conference or Workshop Item (Poster)|
|Deposited By:||Jussi Karlgren|
|Deposited On:||14 Apr 2011 10:26|
|Last Modified:||28 Jul 2011 14:32|
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