The TenTen Corpus Family

Miloš Jakubíček, Adam Kilgarriff, Vojtěch Kovář, Pavel Rychlý, Vít Suchomel

2013 · 111 citations · 8 references

Concepts

TL;DR

Researchers in computational linguistics seek larger, cleaner, duplicate‑free corpora with richer metadata, a goal supported by prior web‑corpus initiatives such as those by Baroni, Kilgarriff, and Sharoff. The paper outlines a programme to construct larger, cleaner, metadata‑rich corpora for all major languages and describes its current progress and future maintenance plans. The authors build the corpora by incrementally adding metadata attributes and expanding coverage across major languages. TenTen corpora comprise roughly 10 billion words and are publicly available for research at sketchengine.co.uk.

Abstract

Everyone working on general language would like their corpus to be bigger, wider-coverage, cleaner, duplicate-free, and with richer metadata. In this paper we describe out programme to build ever better corpora along these lines for all of the world’s major languages (plus some others). Baroni and Kilgarriff (2006), Sharoff (2006), Baroni et al (2009), and Kilgarriff et al (2010) present the case for web corpora and programmes in which a number of them have been developed. TenTens are a development from them -- a new family of corpora of the order of 10 billion words. We describe how we are building them, what we have built so far, and how we shall continue maintaining them and keeping them up to date in the years ahead. While, as yet, they have very little metadata, we are working out how to gather and add metadata attribute by attribute. The corpora are all available for research at http://www.sketchengine.co.uk.

References

8