mlsanityData to 7 Oct 2026

Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+

arXiv 2510.27183 ↗First posted 31 Oct 2025cs.CLcited by 2

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Abstract (arXiv)

The URIEL+ linguistic knowledge base supports multilingual research by encoding languages through geographic, genetic, and typological vectors. However, data sparsity (e.g. missing feature types, incomplete language entries, and limited genealogical coverage) remains prevalent. This limits the usefulness of URIEL+ in cross-lingual transfer, particularly for supporting low-resource languages. To address this sparsity, we extend URIEL+ by introducing script vectors to represent writing system properties for 7,488 languages, integrating Glottolog to add 18,710 additional languages, and expanding lineage imputation for 26,449 languages by propagating typological and script features across genealogies. These improvements reduce feature sparsity by 14% for script vectors, increase language coverage by up to 19,015 languages (1,007%), and boost imputation quality metrics by up to 35%. Our benchmark on cross-lingual transfer tasks (oriented around low-resource languages) shows occasionally divergent performance compared to URIEL+, with performance gains up to 6% in certain setups.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 18 of its 46 references that are in the map. First posted on arXiv 31 Oct 2025.

Builds on

18 of 46 references.

References · 18

  1. 2018XNLI: Evaluating Cross-lingual Sentence Representationscited by 913
  2. 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 789
  3. 2019Choosing Transfer Languages for Cross-Lingual Learningcited by 143
  4. 2020UDapter: Language Adaptation for Truly Universal Dependency Parsingcited by 77
  5. 2024URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Basecited by 21
  6. 2024ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Modelscited by 20
  7. 2024Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similaritycited by 15
  8. 2024Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignmentcited by 14
  9. 2020SIGTYP 2020 Shared Task: Prediction of Typological Featurescited by 13
  10. 2025Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Mattercited by 10
  11. 2025Untangling the Influence of Typology, Data and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Taggingcited by 9
  12. 2024A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Basecited by 7
6 more
  1. 2021One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languagescited by 4
  2. 2021Phylogenetic typologycited by 3
  3. 2025Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+cited by 3
  4. 2024Unknown Script: Impact of Script on Cross-Lingual Transfercited by 2
  5. 2024LangSAMP: Language-Script Aware Multilingual Pretrainingcited by 2
  6. 2025Enhancing Cross-Lingual Transfer through Reversible Transliteration: A Huffman-Based Approach for Low-Resource Languagescited by 1

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Citing papers per year: 2026: 2.

2 papers.