URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866913690113015808 |
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| author | Khan, Aditya Shipton, Mason Anugraha, David Duan, Kaiyao Hoang, Phuong H. Khiu, Eric Doğruöz, A. Seza Lee, En-Shiun Annie |
| author_facet | Khan, Aditya Shipton, Mason Anugraha, David Duan, Kaiyao Hoang, Phuong H. Khiu, Eric Doğruöz, A. Seza Lee, En-Shiun Annie |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_18472 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base Khan, Aditya Shipton, Mason Anugraha, David Duan, Kaiyao Hoang, Phuong H. Khiu, Eric Doğruöz, A. Seza Lee, En-Shiun Annie Computation and Language Machine Learning 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. |
| title | URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base |
| topic | Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2409.18472 |