Analysis of the Arabic using neural networks: An overview
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088881" target="_blank" >RIV/61989100:27240/13:86088881 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86088881
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of the Arabic using neural networks: An overview
Original language description
This paper is a quick review of some of the scholarly work aiming at solving various problems of the Arabic language using neural networks. It includes some research work concerning online recognition of handwritten Arabic characters, speech recognition,offline character text recognition, text categorization and recognition of printed text. This paper concludes that more research should be conducted in this area considering the importance of the Arabic language, the rapid growth of internet users in the Arab world, and the widespread usage of Arabic characters by many languages other than Arabic.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Przeglad elektrotechniczny
ISSN
0033-2097
e-ISSN
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Volume of the periodical
89
Issue of the periodical within the volume
11
Country of publishing house
PL - POLAND
Number of pages
4
Pages from-to
47-50
UT code for WoS article
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EID of the result in the Scopus database
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