Challenges and Strategies in Cross-Cultural NLP
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...
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| Veröffentlicht in: | arXiv.org 2022-03 |
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| creator | Hershcovich, Daniel Stella, Frank Lent, Heather de Lhoneux, Miryam Abdou, Mostafa Brandl, Stephanie Bugliarello, Emanuele Laura Cabello Piqueras Chalkidis, Ilias Cui, Ruixiang Fierro, Constanza Margatina, Katerina Rust, Phillip Søgaard, Anders |
| description | 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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| identifier | EISSN: 2331-8422 |
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| issn | 2331-8422 |
| language | eng |
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| source | Freely Accessible Journals |
| subjects | Culture Natural language processing |
| title | Challenges and Strategies in Cross-Cultural NLP |
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