论文标题
跨文化NLP的挑战和策略
Challenges and Strategies in Cross-Cultural NLP
论文作者
论文摘要
自然语言处理（NLP）社区的各种努力已经为适应语言多样性并为许多不同语言的演讲者提供服务。但是，重要的是要承认，说话者及其产生和需要的内容不仅因语言而异，而且会因文化而异。尽管语言和文化紧密相连，但存在重要的差异。类似于跨语性和多语言NLP，跨文化和多元文化的NLP考虑了这些差异，以便更好地为NLP系统的用户提供服务。我们提出了一个原则上的框架来构建这些努力，并调查现有和潜在的策略。
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.
