How does Finnish Machine Translation work?
- Statistical Machine Translation. This method relies on statistical models to predict the probability of a certain translation based on large datasets of bilingual text.
- Neural Machine Translation. Neural networks are used to model the entire translation process, enabling more contextual understanding and fluency in translated text.
- Rule-Based Machine Translation. This method uses predefined linguistic rules and dictionaries to translate text, allowing for greater control over specific language nuances.
- Hybrid Machine Translation. Hybrid systems combine different approaches, such as statistical and rule-based methods, to improve overall translation quality and adaptability.