How does Ukrainian Machine Translation work?
- Statistical Machine Translation. This method uses statistical models to predict the likelihood of certain translations based on large corpora of bilingual text.
 - Neural Machine Translation. This approach employs deep learning techniques to create more fluent and accurate translations by understanding context and semantics.
 - Rule-Based Translation. Involves predefined linguistic rules and dictionaries to translate between languages, ensuring grammatical accuracy but often lacking in flexibility.
 - Hybrid Translation Models. Combines features of various translation methods, leveraging the strengths of each to improve overall translation quality and accuracy.
 


