frTenTen – French corpus from the web

frTenTen: Corpus of the French Web

The French Web Corpus (frTenTen) is a French 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 30 languages.

Data was crawled by the SpiderLing web spider in April 2012 and comprised of more than 10 billion words. The corpus contains many varieties of the French language – European, Canadian and African French.

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

Part-of-speech tagset

The frTenTen corpus was annotated by the TreeTagger tool using the following POS tags.

frtenten corpus in detail

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

Further information about texts in the corpus

Basic information

	Frequency*
Tokens	11 445
Words	9 890
Sentences	456
Web pages	20

* the figures above are rounded to million

Distribution of top-level domains

Tools to work with the French Web corpus

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

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

Changelog

version 2.0 (February 18 2015)

retokenised and processed with up to date versions of tools
Spanish documents filtered out

version 1.0 (April 2012)

initial version – 10.7 billion word

Bibliography

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).