diplomska delo visokošolskega strokovnega študijskega programa
Alen Merc (Author), Milan Ojsteršek (Mentor)

Abstract

V diplomskem delu najprej predstavimo pojem plagiatorstva. Osredotočimo se na njegove značilnosti, kako ga odkrivamo ter kako ga preprečimo. Pojem plagiatorstva prav tako poskusimo opredeliti iz pravnega, kulturnega in etičnega vidika. Posebno poglavje je namenjeno kratkemu opisu opreme za odkrivanje plagiatov v besedilih. Iz nacionalnega portala odprte znanosti in drugih virov smo s pomočjo programa za odkrivanje podobnosti v besedilih ugotavljali podobnosti med posameznimi deli slovenskih univerz. Rezultate te obdelave smo podali v praktičnem delu diplomskega dela.

Keywords

plagiatorstvo;statistične metode;sistemi za detekcijo plagiatov;procesiranje naravnega jezika;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [A. Merc]
UDC: 004.6:004.777(043.2)
COBISS: 17630998 Link will open in a new window
Views: 1216
Downloads: 137
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Other data

Secondary language: English
Secondary title: STATISTICAL DATA PROCESSING OF THE SIMILAR WORKS ON THE INTERNET
Secondary abstract: In the beginning of thesis concept of plagiarism is introduced, focusing on its characteristics and ways of discovering as well as preventing it. Plagiarism is also defined from legal, cultural and ethical point of view. In a special chapter plagiarism detection software is shortly described. Text documents from Open Science Slovenia and other sources of Slovenian Universities' works were used for detecting similarities between texts. The results of processing the texts by using the plagiarism detection software are presented in the practical part of this thesis.
Secondary keywords: plagarism;statistical methods;plagiarism detection systems;natural language processing;
URN: URN:SI:UM:
Type (COBISS): Undergraduate thesis
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages: X, 66 f.
ID: 8728316