How does Lithuanian Machine Translation work?
- Statistical Machine Translation. This method uses statistical models based on bilingual text corpora to generate translations by identifying patterns and probabilities of word sequences.
- Neural Machine Translation. Neural networks are employed in this approach to capture complex relationships in language, improving the overall fluency and accuracy of translations.
- Rule-Based Machine Translation. This method relies on predefined linguistic rules and dictionaries to translate text, ensuring high accuracy but requiring extensive manual effort to create the rules.
- Hybrid Machine Translation. Combining various methods, such as statistical and neural, this approach leverages their strengths to enhance translation quality and flexibility.