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dc.contributor.authorBao, J.
dc.contributor.authorMalcolm, J.
dc.date.accessioned2008-06-16T15:32:53Z
dc.date.available2008-06-16T15:32:53Z
dc.date.issued2006
dc.identifier.citationBao , J & Malcolm , J 2006 , ' Text similarity in academic conference papers ' , Procs 2nd International Plagiarism Conference , vol. 2006 .
dc.identifier.otherPURE: 95661
dc.identifier.otherPURE UUID: 98dab60f-6d77-456a-b948-504893c5fc6f
dc.identifier.otherdspace: 2299/2113
dc.identifier.urihttp://hdl.handle.net/2299/2113
dc.description.abstractIf we are to use electronic plagiarism detectors on student work, it would be interesting to know how--much similarity should be expected in independently written documents on a similar topic. If our--measure is coarse, the answer should be zero, but a finer grained analysis (such as would be needed to--detect inadequate paraphrasing) is likely to detect some background noise. How much background--noise should there been
dc.language.isoeng
dc.relation.ispartofProcs 2nd International Plagiarism Conference
dc.rightsOpen
dc.titleText similarity in academic conference papersen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2006
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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