Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art

Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen


Abstract
The surge of interest in culture in NLP has inspired much recent research, but a shared understanding of “culture” remains unclear, making it difficult to evaluate progress in this emerging area. Drawing on prior research in NLP and related fields, we propose a fine-grained taxonomy of elements in culture that can provide a systematic framework for analyzing and understanding research progress. Using the taxonomy, we survey existing resources and methods for culturally aware and adapted NLP, providing an overview of the state of the art and the research gaps that still need to be filled.
Anthology ID:
2025.tacl-1.31
Volume:
Transactions of the Association for Computational Linguistics, Volume 13
Month:
Year:
2025
Address:
Cambridge, MA
Venue:
TACL
SIG:
Publisher:
MIT Press
Note:
Pages:
652–689
Language:
URL:
https://preview.aclanthology.org/corrections-2025-07/2025.tacl-1.31/
DOI:
10.1162/tacl_a_00760
Bibkey:
Cite (ACL):
Chen Cecilia Liu, Iryna Gurevych, and Anna Korhonen. 2025. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art. Transactions of the Association for Computational Linguistics, 13:652–689.
Cite (Informal):
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art (Liu et al., TACL 2025)
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PDF:
https://preview.aclanthology.org/corrections-2025-07/2025.tacl-1.31.pdf