Summary of Glotcc: An Open Broad-coverage Commoncrawl Corpus and Pipeline For Minority Languages, by Amir Hossein Kargaran et al.
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
by Amir Hossein Kargaran, François Yvon, Hinrich Schütze
First submitted to arxiv on: 31 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The authors address the need for a large, high-quality text corpus that covers minority languages and is generated through an open-source pipeline. They present GlotCC, a 2TB general domain corpus derived from CommonCrawl, which includes over 1000 languages. The corpus is rigorously cleaned to ensure trustworthiness. Additionally, the authors make available the system used to generate the corpus, including the pipeline, language identification model, and filters. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper creates a big database of texts in many languages. This database is special because it’s made from free data and has no mistakes. The database has over 1000 languages and can be used for training AI models. It’s like a super useful tool that can help make language learning better. |
