Experiments to investigate the utility of nearest neighbour metrics based on linguistically informed features for detecting textual plagiarism
Number of Authors: 2
2011 (English)Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Computer and Information Science
IdentifiersURN: urn:nbn:se:ri:diva-23847OAI: oai:DiVA.org:ri-23847DiVA: diva2:1042925
NoDaLiDa'11 (Nordiska Datalingvistikdagarna)