arTenTen: Arabic Corpus and Word Sketches
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00073241" target="_blank" >RIV/00216224:14330/14:00073241 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S1319157814000330" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1319157814000330</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jksuci.2014.06.009" target="_blank" >10.1016/j.jksuci.2014.06.009</a>
Alternative languages
Result language
angličtina
Original language name
arTenTen: Arabic Corpus and Word Sketches
Original language description
We present arTenTen, a web-crawled corpus of Arabic, gathered in 2012. arTenTen consists of 5.8-billion words. A chunk of it has been lemmatized and part-of-speech (POS) tagged with the MADA tool and subsequently loaded into Sketch Engine, a leading corpus query tool, where it is open for all to use. We have also created ´word sketches?: one-page, automatic, corpus-derived summaries of a word?s grammatical and collocational behavior. We use examples to demonstrate what the corpus can show us regarding Arabic words and phrases and how this can support lexicography and inform linguistic research. The article also presents the ´sketch grammar? (the basis for the word sketches) in detail, describes the process of building and processing the corpus, and considers the role of the corpus in additional research on 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)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of King Saud University-Computer and Information Sciences
ISSN
1319-1578
e-ISSN
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Volume of the periodical
2014
Issue of the periodical within the volume
26
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
15
Pages from-to
381-395
UT code for WoS article
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EID of the result in the Scopus database
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