Abstract
Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages. However, it is important to acknowledge that speakers and the content they produce and require, vary not just by language, but also by culture. Although language and culture are tightly linked, there are important differences. Analogous to cross-lingual and multilingual NLP, cross-cultural and multicultural NLP considers these differences in order to better serve users of NLP systems. We propose a principled framework to frame these efforts, and survey existing and potential strategies.
Original language | English |
---|---|
Title of host publication | ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) |
Editors | Smaranda Muresan, Preslav Nakov, Aline Villavicencio |
Volume | 1 |
Publisher | Association for Computational Linguistics (ACL) |
Publication date | 2022 |
Pages | 6997-7013 |
ISBN (Electronic) | 9781955917216 |
DOIs | |
Publication status | Published - 2022 |
Event | 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022 - Dublin, Ireland Duration: 22 May 2022 → 27 May 2022 |
Conference
Conference | 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022 |
---|---|
Country/Territory | Ireland |
City | Dublin |
Period | 22/05/2022 → 27/05/2022 |
Sponsor | Amazon Science, Bloomberg Engineering, et al., Google Research, Liveperson, Meta |
Bibliographical note
Publisher Copyright:© 2022 Association for Computational Linguistics.