arTenTen: Corpus of the Arabic Web

The Arabic Web Corpus (arTenTen) is a language corpus made up of texts collected from the Internet. The corpus belongs to the TenTen corpus family which is a set of the web corpora built using the same method with a target size 10+ billion words. Sketch Engine currently provides access to TenTen corpora in more than 40 languages.

Detailed information about TenTen corpora is on the separate page Common TenTen corpora attributes.

Part-of-speech tagset

The arTenTen corpus was tagged by the Stanford Arabic parser using the following POS tagset summary.

arTenTen corpus in detail

The chart shows the distribution of the parts of speech in the Arabic Web corpus 2012.

Basic information

Tokens 8 322
Words 7 476
Sentences 177
Web pages 11

* the figures above are rounded to million

Distribution of top level domains

Tools to work with this Arabic corpus from the web

A complete set of Sketch Engine tools is available to work with this Arabic corpus to generate:

  • word sketch – Arabic collocations categorized by grammatical relations
  • thesaurus – synonyms and similar words for every word
  • keywords – terminology extraction of one-word units
  • word lists – lists of Arabic nouns, verbs, adjectives etc. organized by frequency
  • n-grams – frequency list of multi-word units
  • concordance – examples in context

Stanford version (August 2015)

  • tokenized and tagged with Stanford NLP Tools

word sketch version (fall 2014)

  • created and implemented word sketches for Arabic

initial version (April 2012)

  • initial size – 5.8 billion words
  • part-of-speech (POS) tagged and lemmatized with the MADA tool
    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.

Arts, T., Belinkov, Y., Habash, N., Kilgarriff, A., & Suchomel, V. (2014). arTenTen: Arabic Corpus and Word SketchesJournal of King Saud University-Computer and Information Sciences26(4), 357-371.

Belinkov, Y., Habash, N., Kilgarriff, A., Ordan, N., Roth, R., & Suchomel, V. (2013). arTenTen: a new, vast corpus for ArabicProceedings of WACL.

TenTen corpora

Jakubíček, M., Kilgarriff, A., Kovář, V., Rychlý, P., & Suchomel, V. (2013, July). The TenTen corpus family. In 7th International Corpus Linguistics Conference CL (pp. 125-127).

Suchomel, V., & Pomikálek, J. (2012). Efficient web crawling for large text corpora. In Proceedings of the seventh Web as Corpus Workshop (WAC7) (pp. 39-43).

Search the Arabic corpus

Sketch Engine offers a range of tools to work with this Arabic corpus.

Concordance from arTenTen Arabic corpus


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