arTenTen: Arabic Corpus and Word Sketches
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...
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Format: | Article |
Language: | English |
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Elsevier
2014-12-01
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Series: | Journal of King Saud University: Computer and Information Sciences |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157814000330 |
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author | Tressy Arts Yonatan Belinkov Nizar Habash Adam Kilgarriff Vit Suchomel |
author_facet | Tressy Arts Yonatan Belinkov Nizar Habash Adam Kilgarriff Vit Suchomel |
author_sort | Tressy Arts |
collection | DOAJ |
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. |
first_indexed | 2024-12-12T08:37:48Z |
format | Article |
id | doaj.art-cb1681c59bb14f3295ceed6c5997ee09 |
institution | Directory Open Access Journal |
issn | 1319-1578 |
language | English |
last_indexed | 2024-12-12T08:37:48Z |
publishDate | 2014-12-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of King Saud University: Computer and Information Sciences |
spelling | doaj.art-cb1681c59bb14f3295ceed6c5997ee092022-12-22T00:30:52ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782014-12-0126435737110.1016/j.jksuci.2014.06.009arTenTen: Arabic Corpus and Word SketchesTressy Arts0Yonatan Belinkov1Nizar Habash2Adam Kilgarriff3Vit Suchomel4Chief Editor Oxford Arabic Dictionary, UKMIT, USANew York University Abu Dhabi, United Arab EmiratesLexical Computing Ltd, UKMasaryk Univ., Czech RepublicWe 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.http://www.sciencedirect.com/science/article/pii/S1319157814000330CorporaLexicographyMorphologyConcordanceArabic |
spellingShingle | Tressy Arts Yonatan Belinkov Nizar Habash Adam Kilgarriff Vit Suchomel arTenTen: Arabic Corpus and Word Sketches Journal of King Saud University: Computer and Information Sciences Corpora Lexicography Morphology Concordance Arabic |
title | arTenTen: Arabic Corpus and Word Sketches |
title_full | arTenTen: Arabic Corpus and Word Sketches |
title_fullStr | arTenTen: Arabic Corpus and Word Sketches |
title_full_unstemmed | arTenTen: Arabic Corpus and Word Sketches |
title_short | arTenTen: Arabic Corpus and Word Sketches |
title_sort | artenten arabic corpus and word sketches |
topic | Corpora Lexicography Morphology Concordance Arabic |
url | http://www.sciencedirect.com/science/article/pii/S1319157814000330 |
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