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dc.contributor.advisorGamback, Bjørnnb_NO
dc.contributor.advisorMarsi, Erwinnb_NO
dc.contributor.authorPerleka, Erisanb_NO
dc.date.accessioned2014-12-19T13:40:54Z
dc.date.available2014-12-19T13:40:54Z
dc.date.created2013-11-07nb_NO
dc.date.issued2013nb_NO
dc.identifier662623nb_NO
dc.identifierntnudaim:10144nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/253544
dc.description.abstractThe task of plagiarism detection is to look at a given document and establish whether it is an original or not. More specifically, it concerns the disclosure of which sentences or passages are plagiarised from which respective passages. The strategies of uncovering plagiarism rely on the kind of natural language representation chosen. Plagiarism detection asks for two major tasks. Retrieving a possible source document, and then performing the detailed analysis that would produce the exact detection result. This thesis is mainly concerned with the detailed analysis phase, more specifically with the problem of text alignment and the other subtasks that follow from it.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.titlePlagiarism Detection: An Overview of Text Alignment Techniquesnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber3nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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