Challenges and Strategies in Cross-Cultural NLP
It addresses the need for more inclusive NLP tools for diverse cultural groups, but is incremental as it builds on existing cross-lingual approaches.
The paper tackles the problem of cultural diversity in NLP systems, proposing a framework to better serve users by addressing cultural differences beyond language.
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.