About: Language Identification Using Wavelet Transform and Artificial Neural Network

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Language Identification Using Wavelet Transform and Artificial Neural Network Goto Sponge NotDistinct Permalink

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

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In traditional language identification methods, it is not so easy for search engines to find relevant language database of a given query. Therefore, there is a need to identify the relevant user's natural language query of unknown document database in a better way by automatic language identification. This novel approach presents an automatic method for classification of English and Arabic language identification. The classifier used is a three-layered feed-forward artificial neural network and the feature vector is formed by calculating the wavelet coefficients. Three wavelet decomposition functions (filters), namely Haar, Bior 2.2 and Bior 3.1 have been used to extract the feature vector set and their performance has been compared. In traditional language identification methods, it is not so easy for search engines to find relevant language database of a given query. Therefore, there is a need to identify the relevant user's natural language query of unknown document database in a better way by automatic language identification. This novel approach presents an automatic method for classification of English and Arabic language identification. The classifier used is a three-layered feed-forward artificial neural network and the feature vector is formed by calculating the wavelet coefficients. Three wavelet decomposition functions (filters), namely Haar, Bior 2.2 and Bior 3.1 have been used to extract the feature vector set and their performance has been compared. (en)
Title	Language Identification Using Wavelet Transform and Artificial Neural Network Language Identification Using Wavelet Transform and Artificial Neural Network (en)
skos:prefLabel	Language Identification Using Wavelet Transform and Artificial Neural Network Language Identification Using Wavelet Transform and Artificial Neural Network (en)
skos:notation	RIV/61989100:27240/10:86077714!RIV11-MSM-27240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Snášel, Václav Martinovič, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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	267865
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/10:86077714
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Wavelet Transform, artificial neural network, language identification, cross language , Unicode (en)
http://linked.open.../riv/klicoveSlovo	artificial neural network language identification Wavelet Transform Unicode cross language
http://linked.open...ontrolniKodProRIV	[10FA6ECBF8A2]
http://linked.open...v/mistoKonaniAkce	Taiyuan, China
http://linked.open...i/riv/mistoVydani	Los Alamitos, California
http://linked.open...i/riv/nazevZdroje	2010 International Conference on Computational Aspects of Social Networks
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Martinovič, Jan Snášel, Václav Al-Dubaee, Shawki Ahmad, Nesar
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-09-26 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society
https://schema.org/isbn	978-0-7695-4202-7
http://localhost/t...ganizacniJednotka	27240

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software