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@article{1210667,
author = {Arts, Tressy and Belinkov, Yonatan and Habash, Nizar and Kilgarriff, Adam and Suchomel, Vít},
article_number = {26},
doi = {http://dx.doi.org/10.1016/j.jksuci.2014.06.009},
keywords = {Corpora; Lexicography; Morphology; Concordance; Arabic},
language = {eng},
issn = {1319-1578},
journal = {Journal of King Saud University-Computer and Information Sciences},
title = {arTenTen: Arabic Corpus and Word Sketches},
url = {http://www.sciencedirect.com/science/article/pii/S1319157814000330},
volume = {2014},
year = {2014}
}
TY - JOUR
ID - 1210667
AU - Arts, Tressy - Belinkov, Yonatan - Habash, Nizar - Kilgarriff, Adam - Suchomel, Vít
PY - 2014
TI - arTenTen: Arabic Corpus and Word Sketches
JF - Journal of King Saud University-Computer and Information Sciences
VL - 2014
IS - 26
SP - 381-395
EP - 381-395
PB - Elsevier
SN - 13191578
KW - Corpora
KW - Lexicography
KW - Morphology
KW - Concordance
KW - Arabic
UR - http://www.sciencedirect.com/science/article/pii/S1319157814000330
L2 - http://www.sciencedirect.com/science/article/pii/S1319157814000330
N2 - 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.
ER -
ARTS, Tressy, Yonatan BELINKOV, Nizar HABASH, Adam KILGARRIFF a Vít SUCHOMEL. arTenTen: Arabic Corpus and Word Sketches. \textit{Journal of King Saud University-Computer and Information Sciences}. Elsevier, 2014, roč.~2014, č.~26, s.~381-395. ISSN~1319-1578. Dostupné z: https://dx.doi.org/10.1016/j.jksuci.2014.06.009.
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