dc.contributor.author | Bao, J. | |
dc.contributor.author | Malcolm, J. | |
dc.date.accessioned | 2008-06-16T15:32:53Z | |
dc.date.available | 2008-06-16T15:32:53Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Bao , J & Malcolm , J 2006 , ' Text similarity in academic conference papers ' , Procs 2nd International Plagiarism Conference , vol. 2006 . | |
dc.identifier.other | dspace: 2299/2113 | |
dc.identifier.uri | http://hdl.handle.net/2299/2113 | |
dc.description.abstract | If 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 be | en |
dc.format.extent | 237058 | |
dc.language.iso | eng | |
dc.relation.ispartof | Procs 2nd International Plagiarism Conference | |
dc.title | Text similarity in academic conference papers | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.description.status | Peer reviewed | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |