How do multilingual NLP models handle different languages?

Multilingual models share representations across languages using shared tokenization and embeddings.

Models like mBERT and XLM-R are trained on multiple languages using shared subword vocabularies. They learn cross-lingual representations enabling zero-shot transfer between languages.