kaTenTen: Corpus of the Georgian Web
The Georgian Web Corpus (kaTenTen) is a Georgian corpus made up of texts collected from the Internet. The corpus belongs to the TenTen corpus family. Sketch Engine currently provides access to TenTen corpora in more than 50 languages. The corpora are built using technology specialized in collecting only linguistically valuable web content.
For detailed information about TenTen corpora, see Common TenTen corpora attributes.
The most recent version of the kaTenTen corpus consists of almost 900 million words. The texts were downloaded in August and September 2024. The sample texts of the largest web domains which account for 79% of all corpus texts were checked manually and content with poor quality text and spam was removed.
Part-of-speech tagset and lemmatization
The corpus is not part-of-speech tagged nor lemmatized.
Gerogian Web 2024 corpus sizes
| Frequency | |
| Tokens | 1.1+ billion |
| Words | 860+ million |
| Sentences | 70+ million |
| Web pages | 3+ million |
Search the Georgian corpus kaTenTen
Sketch Engine offers a range of tools to work with this Georgian corpus.
Genre annotation and topic classification
A part of the Georgian Web 2024 corpus contains genre annotation and topic classification. These can be displayed as corpus structures in Concordance or in the Text type Analysis tool. Genres refer to writing styles and are divided into four groups (blog, discussion, fiction, legal, news, reference/encyclopedia) whereas topic classification is inspired by categories used by https://curlie.org/ (formerly dmoz.org) and includes the following topics: arts, beauty & fashion, cars & bikes, culture & entertainment, economy finance & business, games, health, history, hobbies, home family & children, nature & environment, pets & animal, politics & government, religion, science, sex, sports, technology & IT, and travel & tourism.
- genres cover 30% of the corpus, i.e. 338 million tokens
- topic classification covers 10% of the corpus, i.e. 110 million tokens
Please refer to our article on topic and genre classification for more information: https://www.sketchengine.eu/blog/topics-and-genres-in-corpora/
Hover over the chart to display a number of tokens of the particular topic.
Overview of Georgian TenTen corpora
These web corpora were crawled and processed repeatedly during the years:
- Georgian Web corpus 2024 (kaTenTen24) – 900 million words, genre annotation and topic classification
Tools to work with the Georgian corpora from the web
A complete set of Sketch Engine tools is available to work with these Georgian corpora to generate:
- word sketch – Georgian collocations categorized by grammatical relations
- thesaurus – synonyms and similar words for every word
- keywords – terminology extraction of one-word and multi-word key n-grams
- n-grams – frequency list of multi-word units
- concordance – examples in context
- text type analysis – statistics of metadata in the corpus
Changelog
Georgian Web 2024 (kaTenTen24)
version katenten24 (December 2024)
- Data downloaded in August-September 2024
- spam removal
- topic and genre classification
Bibliography
TenTen corpora
SUCHOMEL, Vít. Better Web Corpora For Corpus Linguistics And NLP. 2020. Available also from: https://is.muni.cz/th/u4rmz/. Doctoral thesis. Masaryk University, Faculty of Informatics, Brno. Supervised by Pavel RYCHLÝ.
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).
Genre annotation
SUCHOMEL, Vít. Genre Annotation of Web Corpora: Scheme and Issues. In Kohei Arai, Supriya Kapoor, Rahul Bhatia. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. Vancouver, Canada: Springer Nature Switzerland AG, 2021. s. 738-754. ISBN 978-3-030-63127-7. doi:10.1007/978-3-030-63128-4_55.
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