mrTenTen: Corpus of the Marathi Web
The Marathi Web Corpus (mrTenTen) is a Marathi 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 Marathi Web 2021 corpus consists of 342 million words. The texts were downloaded between March and April 2021. The sample texts of the largest web domains which account for 95% of all corpus texts were checked manually and content with poor quality text and spam was removed.
Part-of-speech tagset and lemmatization
The CDAC Marathi PoS tagger and the the following lemmatizer were used.
The following tagset was used.
Overview of Marathi TenTen corpora
These web corpora were crawled and processed repeatedly during the years:
- Marathi Web corpus 2021 (mrTenTen21) – 342 million words, tagging and lemmatization
Marathi Web 2021 corpus sizes
| Number of words | 342+ million |
| Number of tokens | 405+ million |
| Number of sentences | 32+ million |
| Number of web pages | 716+ thousand |
Search the Marathi Web 2021
Sketch Engine offers a range of tools to work with this Marathi corpus.
Tools to work with the Marathi Web 2021 corpus from the web
A complete set of Sketch Engine tools is available to work with this Marathi corpus to generate:
- word sketch – Marathi collocations categorized by grammatical relations
- thesaurus – synonyms and similar words for every word
- keywords – terminology extraction of one-word units
- word lists – lists of Marathi nouns, verbs, adjectives etc. organized by frequency
- n-grams – frequency list of multi-word units
- concordance – examples in context
- text type analysis – statistics of metadata in the corpus
Changelog
Marathi Web corpus 2021 (mrtenten21_ith1)
- published in January 2026
- spam removal
- tagging, lemmatization
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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