How does French Machine Translation work?
- Rule-Based Translation. This method relies on hand-coded linguistic rules and dictionaries, translating text based on predefined grammar and vocabulary.
- Statistical Machine Translation. This approach uses statistical models to predict the likelihood of different translations based on large datasets of bilingual text.
- Neural Machine Translation. Neural networks are employed in this modern method, providing context-aware translations by learning from vast amounts of data.
- Hybrid Translation Systems. Combining various methods, hybrid systems leverage the strengths of rule-based, statistical, and neural approaches for improved translation accuracy.