arTenTen: Arabic Corpus and Word Sketches

被引：26

作者：

Arts, Tressy

Belinkov, Yonatan ^{[1
]}

Habash, Nizar ^{[2
]}

Kilgarriff, Adam ^{[3
]}

Suchomel, Vit ^{[3
,4
]}

机构：

[1] MIT, Cambridge, MA 02139 USA

[2] New York Univ, Abu Dhabi, U Arab Emirates

[3] Lexical Comp Ltd, London, England

[4] Masaryk Univ, Brno, Czech Republic

来源：

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES | 2014年 / 26卷 / 04期

关键词：

Corpora; Lexicography; Morphology; Concordance; Arabic;

D O I：

10.1016/j.jksuci.2014.06.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2014 Production and hosting by Elsevier B. V. on behalf of King Saud University.

引用

页码：357 / 371

页数：15

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