Language Models Are Polyglots: Language Similarity Predicts Cross-Lingual Transfer Learning Performance
- DOI
- 10.3390/make8030065
- Published
- 03
- Container
- Machine Learning and Knowledge Extraction
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/make8030065,
title = {Language Models Are Polyglots: Language Similarity Predicts Cross-Lingual Transfer Learning Performance},
author = {Juuso Eronen and Michal Ptaszynski and Tomasz Wicherkiewicz and Robert Borges and Katarzyna Janic and Zhenzhen Liu and Tanjim Mahmud and Fumito Masui},
year = {2026},
journal = {Machine Learning and Knowledge Extraction},
doi = {10.3390/make8030065},
url = {https://doi.org/10.3390/make8030065}
}RIS
TY - JOUR TI - Language Models Are Polyglots: Language Similarity Predicts Cross-Lingual Transfer Learning Performance AU - Juuso Eronen AU - Michal Ptaszynski AU - Tomasz Wicherkiewicz AU - Robert Borges AU - Katarzyna Janic AU - Zhenzhen Liu AU - Tanjim Mahmud AU - Fumito Masui PY - 2026 JO - Machine Learning and Knowledge Extraction DO - 10.3390/make8030065 UR - https://doi.org/10.3390/make8030065 ER -
APA
Eronen, J., Ptaszynski, M., Wicherkiewicz, T., Borges, R., Janic, K., Liu, Z., Mahmud, T., & Masui, F. (2026). Language Models Are Polyglots: Language Similarity Predicts Cross-Lingual Transfer Learning Performance. Machine Learning and Knowledge Extraction. https://doi.org/10.3390/make8030065
Source records
- doaj · retrieved 2026-09-26T10:25:26.044Z