Natural Language Processing for Global Audiences
Natural Language Processing for Global Audiences Natural language processing (NLP) helps software understand and respond to people in many languages. For global audiences, it is not enough to translate words; you must respect context, culture, and local rules. A well designed NLP product feels fluent, fair, and fast. Many languages have less training data, unusual spellings, and unique scripts. Dialects, formality levels, and regional slang can change meaning. Systems should handle Unicode, right-to-left writing, and mixed-language text. Privacy and data localization are also important when you work with people from different countries. Building for global users means thinking about how people read, write, and interact online in many settings. ...