NLP in Multilingual Contexts: Challenges and Solutions
NLP in Multilingual Contexts: Challenges and Solutions NLP has made big progress in many languages, but real world use often involves several languages at once. Multilingual contexts appear in global websites, customer support chats, and multilingual apps. Models trained on a single language often fail in others because languages differ in grammar, vocabulary, and writing systems. The challenge is not only translation, but understanding intent, sentiment, and nuance across languages. ...