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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F09%3A00502440%21RIV10-MSM-23520___
rdf:type
skos:Concept n19:Vysledek
dcterms:description
This tool allows identifying cases of plagiarism in written text. This particular solution employs an advanced technique based on the Latent Semantic Analysis (LSA) framework to perform large statistics computations. For that purpose, Singular Value Decomposition (SVD) is used to infer the associations among the common N-grams contained in the examined documents. Moreover, this tool enables applying various text pre-processing techniques. This tool allows identifying cases of plagiarism in written text. This particular solution employs an advanced technique based on the Latent Semantic Analysis (LSA) framework to perform large statistics computations. For that purpose, Singular Value Decomposition (SVD) is used to infer the associations among the common N-grams contained in the examined documents. Moreover, this tool enables applying various text pre-processing techniques.
dcterms:title
SVDPlag v1.0 SVDPlag v1.0
skos:prefLabel
SVDPlag v1.0 SVDPlag v1.0
skos:notation
RIV/49777513:23520/09:00502440!RIV10-MSM-23520___
n4:aktivita
n13:P
n4:aktivity
P(2C06009)
n4:dodaniDat
n5:2010
n4:domaciTvurceVysledku
n12:4975677
n4:druhVysledku
n15:R
n4:duvernostUdaju
n7:S
n4:entitaPredkladatele
n10:predkladatel
n4:idSjednocenehoVysledku
344890
n4:idVysledku
RIV/49777513:23520/09:00502440
n4:interniIdentifikace
SVDPlag v1.0
n4:jazykVysledku
n14:eng
n4:klicovaSlova
SVDPlag; plagiarism; copy detection; latent semantic analysis; singular value decomposition; N-Grams
n4:klicoveSlovo
n6:copy%20detection n6:latent%20semantic%20analysis n6:N-Grams n6:plagiarism n6:SVDPlag n6:singular%20value%20decomposition
n4:kontrolniKodProRIV
[01D9080D91D1]
n4:licencniPoplatek
n9:Z
n4:lokalizaceVysledku
http://www.kiv.zcu.cz/vyzkum/software/2009/svdplag-1.html
n4:obor
n18:JC
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:projekt
n8:2C06009
n4:rokUplatneniVysledku
n5:2009
n4:technickeParametry
ZČU, Univerzitní 8, Plzeň 30614, Z. Češka, zceska@kiv.zcu.cz, tel.: 37 763 2452. DLL knihovna s ukázkovými příklady. Vyvinutá v prostředí .NET Framework 3.5, nutný běh v 64-bitovém prostředí na aritektuře x86-64.
n4:tvurceVysledku
Češka, Zdeněk
n4:vlastnik
n10:vlastnikVysledku
n4:vyuzitiJinymSubjektem
n17:P
n16:organizacniJednotka
23520