Challenges and Strategies in Cross-Cultural NLP
Computation and Language
2022-03-21 v1
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.
Keywords
Cite
@article{arxiv.2203.10020,
title = {Challenges and Strategies in Cross-Cultural NLP},
author = {Daniel Hershcovich and Stella Frank and Heather Lent and Miryam de Lhoneux and Mostafa Abdou and Stephanie Brandl and Emanuele Bugliarello and Laura Cabello Piqueras and Ilias Chalkidis and Ruixiang Cui and Constanza Fierro and Katerina Margatina and Phillip Rust and Anders Søgaard},
journal= {arXiv preprint arXiv:2203.10020},
year = {2022}
}
Comments
ACL 2022 - Theme track