Cross-Lingual Language Models (Xlms)
AI models designed to understand and generate text across multiple languages, enabling them to perform tasks like translation, question answering, and information retrieval in a multilingual context without language-specific training data for each task.
Areas of application
- translation
- question answering
- information retrieval
- natural language processing
- machine learning
Example
For instance, an XLM could be trained on English and Spanish text, allowing it to translate between the two languages with high accuracy.