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URIEL+ : enhancing linguistic inclusion and usability in a typological and multilingual knowledge base

Aditya Khan, Mason Shipton, David Anugraha, Kaiyao Duan, Phuong H. Hoang, Eric Khiu, A. Seza Doğruöz (UGent) and En-Shiun Annie Lee
(2025) Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025. p.6937-6952
Author
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Abstract
URIEL is a knowledge base offering geographical, phylogenetic, and typological vector representations for 7970 languages. It includes distance measures between these vectors for 4005 languages, which are accessible via the lang2vec tool. Despite being frequently cited, URIEL is limited in terms of linguistic inclusion and overall usability. To tackle these challenges, we introduce URIEL+, an enhanced version of URIEL and lang2vec that addresses these limitations. In addition to expanding typological feature coverage for 2898 languages, URIEL+ improves the user experience with robust, customizable distance calculations to better suit the needs of users. These upgrades also offer competitive performance on downstream tasks and provide distances that better align with linguistic distance studies.
Keywords
Computational Linguistics, NLP, Linguistic Typology, Low Resource Languages

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MLA
Khan, Aditya, et al. “URIEL+ : Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base.” Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, edited by Owen Rambow et al., Association for Computational Linguistics (ACL), 2025, pp. 6937–52.
APA
Khan, A., Shipton, M., Anugraha, D., Duan, K., Hoang, P. H., Khiu, E., … Lee, E.-S. A. (2025). URIEL+ : enhancing linguistic inclusion and usability in a typological and multilingual knowledge base. In O. Rambow, L. Wanner, M. Apidianaki, H. Al-Khalifa, B. Di Eugenio, & S. Schockaert (Eds.), Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025 (pp. 6937–6952). Association for Computational Linguistics (ACL).
Chicago author-date
Khan, Aditya, Mason Shipton, David Anugraha, Kaiyao Duan, Phuong H. Hoang, Eric Khiu, A. Seza Doğruöz, and En-Shiun Annie Lee. 2025. “URIEL+ : Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base.” In Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, edited by Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, and Steven Schockaert, 6937–52. Association for Computational Linguistics (ACL).
Chicago author-date (all authors)
Khan, Aditya, Mason Shipton, David Anugraha, Kaiyao Duan, Phuong H. Hoang, Eric Khiu, A. Seza Doğruöz, and En-Shiun Annie Lee. 2025. “URIEL+ : Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base.” In Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, ed by. Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, and Steven Schockaert, 6937–6952. Association for Computational Linguistics (ACL).
Vancouver
1.
Khan A, Shipton M, Anugraha D, Duan K, Hoang PH, Khiu E, et al. URIEL+ : enhancing linguistic inclusion and usability in a typological and multilingual knowledge base. In: Rambow O, Wanner L, Apidianaki M, Al-Khalifa H, Di Eugenio B, Schockaert S, editors. Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025. Association for Computational Linguistics (ACL); 2025. p. 6937–52.
IEEE
[1]
A. Khan et al., “URIEL+ : enhancing linguistic inclusion and usability in a typological and multilingual knowledge base,” in Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, Abu Dhabi, United Arab Emirates, 2025, pp. 6937–6952.
@inproceedings{01JNP6NG8K4JV2BVGN3M70C457,
  abstract     = {{URIEL is a knowledge base offering geographical, phylogenetic, and typological vector representations for 7970 languages. It includes distance measures between these vectors for 4005 languages, which are accessible via the lang2vec tool. Despite being frequently cited, URIEL is limited in terms of linguistic inclusion and overall usability. To tackle these challenges, we introduce URIEL+, an enhanced version of URIEL and lang2vec that addresses these limitations. In addition to expanding typological feature coverage for 2898 languages, URIEL+ improves the user experience with robust, customizable distance calculations to better suit the needs of users. These upgrades also offer competitive performance on downstream tasks and provide distances that better align with linguistic distance studies.}},
  author       = {{Khan, Aditya and Shipton, Mason and Anugraha, David and Duan, Kaiyao and Hoang, Phuong H. and Khiu, Eric and Doğruöz, A. Seza and Lee, En-Shiun Annie}},
  booktitle    = {{Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025}},
  editor       = {{Rambow, Owen and Wanner, Leo and Apidianaki, Marianna and Al-Khalifa, Hend and Di Eugenio, Barbara and Schockaert, Steven}},
  isbn         = {{9798891761964}},
  keywords     = {{Computational Linguistics,NLP,Linguistic Typology,Low Resource Languages}},
  language     = {{eng}},
  location     = {{Abu Dhabi, United Arab Emirates}},
  pages        = {{6937--6952}},
  publisher    = {{Association for Computational Linguistics (ACL)}},
  title        = {{URIEL+ : enhancing linguistic inclusion and usability in a typological and multilingual knowledge base}},
  url          = {{https://aclanthology.org/2025.coling-main.463/}},
  year         = {{2025}},
}