Overview
Multilingual language models are designed to handle multiple languages effectively, with strong capabilities in translation and cross-lingual understanding.
Key Capabilities
Understanding
- Cross-lingual comprehension
- Language identification
- Multilingual entity recognition
- Cultural context understanding
Generation
- Machine translation
- Multilingual text generation
- Cross-lingual summarization
- Code-switching support
Popular Models
| Model | Provider | Languages | Key Features |
|---|---|---|---|
| BLOOM | BigScience | 46 languages | Open source, research |
| mT5 | 101 languages | Text-to-text tasks | |
| XGLM | Meta | 30 languages | Cross-lingual generation |
Applications
- Machine translation
- Multilingual content creation
- Cross-lingual information retrieval
- International customer support
- Global content moderation