GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages

MCML Authors

Amir Hossein Kargaran

→ Group Hinrich Schütze
 Computational Linguistics

Hinrich Schütze

Prof. Dr.

Principal Investigator

Computational Linguistics

Abstract

The need for large text corpora has increased with the advent of pretrained language models and, in particular, the discovery of scaling laws for these models. Most available corpora have sufficient data only for languages with large dominant communities. However, there is no corpus available that (i) covers a wide range of minority languages; (ii) is generated by an open-source reproducible pipeline; and (iii) is rigorously cleaned from noise, making it trustworthy to use. We present GlotCC, a clean, document-level, 2TB general domain corpus derived from CommonCrawl, covering more than 1000 languages. We make GlotCC and the system used to generate it - including the pipeline, language identification model, and filters - available to the research community.

inproceedings

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NeurIPS 2024

38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024.

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Authors

A. H. Kargaran • F. Yvon • H. Schütze

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Links

URL

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Research Area

 B2 | Natural Language Processing