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Challenges and Strategies in Cross-Cultural NLP

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arxiv 2203.10020 v1 pith:7FSCN3K4 submitted 2022-03-18 cs.CL

Challenges and Strategies in Cross-Cultural NLP

Daniel Hershcovich , Stella Frank , Heather Lent , Miryam de Lhoneux , Mostafa Abdou , Stephanie Brandl , Emanuele Bugliarello , Laura Cabello Piqueras
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Ilias Chalkidis Ruixiang Cui Constanza Fierro Katerina Margatina Phillip Rust Anders S{\o}gaard
This is my paper
classification cs.CL
keywords languagecross-culturalculturedifferenceseffortsimportantservespeakers
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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Cited by 3 Pith papers

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