How does Irish Machine Translation work?
- Statistical Machine Translation. This approach uses statistical models to determine the probability of word sequences and translate text based on these probabilities.
- Neural Machine Translation. Neural networks are employed to learn the relationships between source and target languages, allowing for more fluent and contextual translations.
- Rule-Based Translation. This method involves using predefined linguistic rules and dictionaries to translate text, focusing on grammatical and syntactical accuracy.
- Hybrid Approach. Combining various methods, such as statistical and rule-based approaches, enhances translation quality by leveraging the strengths of each technique.