@inproceedings{ritchie-etal-2024-linguameta-unified,
title = "{L}ingua{M}eta: Unified Metadata for Thousands of Languages",
author = "Ritchie, Sandy and
van Esch, Daan and
Okonkwo, Uche and
Vashishth, Shikhar and
Drummond, Emily",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.921",
pages = "10530--10538",
abstract = "We introduce LinguaMeta, a unified resource for language metadata for thousands of languages, including language codes, names, number of speakers, writing systems, countries, official status, coordinates, and language varieties. The resources are drawn from various existing repositories and supplemented with our own research. Each data point is tagged for its origin, allowing us to easily trace back to and improve existing resources with more up-to-date and complete metadata. The resource is intended for use by researchers and organizations who aim to extend technology to thousands of languages.",
}
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%0 Conference Proceedings
%T LinguaMeta: Unified Metadata for Thousands of Languages
%A Ritchie, Sandy
%A van Esch, Daan
%A Okonkwo, Uche
%A Vashishth, Shikhar
%A Drummond, Emily
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F ritchie-etal-2024-linguameta-unified
%X We introduce LinguaMeta, a unified resource for language metadata for thousands of languages, including language codes, names, number of speakers, writing systems, countries, official status, coordinates, and language varieties. The resources are drawn from various existing repositories and supplemented with our own research. Each data point is tagged for its origin, allowing us to easily trace back to and improve existing resources with more up-to-date and complete metadata. The resource is intended for use by researchers and organizations who aim to extend technology to thousands of languages.
%U https://aclanthology.org/2024.lrec-main.921
%P 10530-10538
Markdown (Informal)
[LinguaMeta: Unified Metadata for Thousands of Languages](https://aclanthology.org/2024.lrec-main.921) (Ritchie et al., LREC-COLING 2024)
ACL
- Sandy Ritchie, Daan van Esch, Uche Okonkwo, Shikhar Vashishth, and Emily Drummond. 2024. LinguaMeta: Unified Metadata for Thousands of Languages. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 10530–10538, Torino, Italia. ELRA and ICCL.