Experiments to investigate the utility of nearest neighbour metrics based on linguistically informed features for detecting textual plagiarism
Per Almquist, Jussi Karlgren · DSpace repository (University of Tartu) · 2011
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.