Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ALGXQIZ2C" target="_blank" >RIV/00216208:11320/26:LGXQIZ2C - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1162/tacl_a_00760" target="_blank" >http://dx.doi.org/10.1162/tacl_a_00760</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1162/tacl_a_00760" target="_blank" >10.1162/tacl_a_00760</a>
Alternative languages
Result language
angličtina
Original language name
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art
Original language description
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. © 2025 Association for Computational Linguistics.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Transactions of the Association for Computational Linguistics
ISSN
2307-387X
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
2025
Country of publishing house
US - UNITED STATES
Number of pages
38
Pages from-to
652-689
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105011501749