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.
View on arXiv@article{liu2025_2406.03930,
title={ Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art },
author={ Chen Cecilia Liu and Iryna Gurevych and Anna Korhonen },
journal={arXiv preprint arXiv:2406.03930},
year={ 2025 }
}