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        <title>Identifying Rare Languages in Common Crawl Data is a Needles-in-a-Haystack Problem</title>
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    <abstract>Automatic language identification is frequentlyframed as a multi-class classification problem.However, when creating digital corpora forless commonly written languages, it may bemore appropriate to consider it a data min-ing problem. For these varieties, one knowsahead of time that the vast majority of doc-uments are of little interest. By minimizingresources spent on classifying such documents,we can create corpora covering previously over-looked languages faster than existing pipelines.To demonstrate the effectiveness of the tar-geted mining perspective, we introduce a newpipeline that can filter a single snapshot in twohours. We also provide web corpora for severalFrench-based Creoles.</abstract>
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%0 Conference Proceedings
%T Identifying Rare Languages in Common Crawl Data is a Needles-in-a-Haystack Problem
%A Dent, Rasul
%A Ortiz Suarez, Pedro
%A Clérice, Thibault
%A Sagot, Benoît
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Findings of the Association for Computational Linguistics: EMNLP 2025
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-335-7
%F dent-etal-2025-identifying
%X Automatic language identification is frequentlyframed as a multi-class classification problem.However, when creating digital corpora forless commonly written languages, it may bemore appropriate to consider it a data min-ing problem. For these varieties, one knowsahead of time that the vast majority of doc-uments are of little interest. By minimizingresources spent on classifying such documents,we can create corpora covering previously over-looked languages faster than existing pipelines.To demonstrate the effectiveness of the tar-geted mining perspective, we introduce a newpipeline that can filter a single snapshot in twohours. We also provide web corpora for severalFrench-based Creoles.
%U https://aclanthology.org/2025.findings-emnlp.77/
%P 1460-1473

Markdown (Informal)

[Identifying Rare Languages in Common Crawl Data is a Needles-in-a-Haystack Problem](https://aclanthology.org/2025.findings-emnlp.77/) (Dent et al., Findings 2025)

• Identifying Rare Languages in Common Crawl Data is a Needles-in-a-Haystack Problem (Dent et al., Findings 2025)

ACL

• Rasul Dent, Pedro Ortiz Suarez, Thibault Clérice, and Benoît Sagot. 2025. Identifying Rare Languages in Common Crawl Data is a Needles-in-a-Haystack Problem. In Findings of the Association for Computational Linguistics: EMNLP 2025, pages 1460–1473, Suzhou, China. Association for Computational Linguistics.