About: Czech text segmentation using voting experts and its comparison with Menzerath-Altmann law

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The word alphabet is connection to a lot of problems in the information retrieval. Information retrieval algorithms usually do not process the input data as sequence of bytes, but they use even bigger pieces of the data, say words or generally some chunks of the data. This is the main motivation of the paper. How to split the input data into smaller chunks without a priori known structure? To do this, we use Voting Experts Algorithms in our paper. Voting Experts Algorithm is often used to process time series data, audio signals, etc. Our intention is to use Voting Experts algorithm for future segmentation of discrete data such as DNA or proteins. For test purposes we use Czech and English text as test bed for the segmentation algorithm. We use Menzerath-Altmann law for comparison of the segmentation result. The word alphabet is connection to a lot of problems in the information retrieval. Information retrieval algorithms usually do not process the input data as sequence of bytes, but they use even bigger pieces of the data, say words or generally some chunks of the data. This is the main motivation of the paper. How to split the input data into smaller chunks without a priori known structure? To do this, we use Voting Experts Algorithms in our paper. Voting Experts Algorithm is often used to process time series data, audio signals, etc. Our intention is to use Voting Experts algorithm for future segmentation of discrete data such as DNA or proteins. For test purposes we use Czech and English text as test bed for the segmentation algorithm. We use Menzerath-Altmann law for comparison of the segmentation result. (en)
Title	Czech text segmentation using voting experts and its comparison with Menzerath-Altmann law Czech text segmentation using voting experts and its comparison with Menzerath-Altmann law (en)
skos:prefLabel	Czech text segmentation using voting experts and its comparison with Menzerath-Altmann law Czech text segmentation using voting experts and its comparison with Menzerath-Altmann law (en)
skos:notation	RIV/61989100:27240/11:86081142!RIV12-GA0-27240___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA205/09/1079)
http://linked.open...iv/cisloPeriodika	12
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Snášel, Václav Kocyan, Tomáš Dvorský, Jiří Martinovič, Jan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	192731
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/11:86081142
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Voting Experts; Text Segmentation (en)
http://linked.open.../riv/klicoveSlovo	Text Segmentation Voting Experts
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[EC266B8D4671]
http://linked.open...i/riv/nazevZdroje	Communications in Computer and Information Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Methods of Artificial Inteligence in GIS
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	245
http://linked.open...iv/tvurceVysledku	Dvorský, Jiří Kocyan, Tomáš Martinovič, Jan Snášel, Václav
issn	1865-0929
number of pages	9 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-27245-5_20
http://localhost/t...ganizacniJednotka	27240

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