How does Sundanese Machine Translation work?
- Statistical Machine Translation. This method relies on statistical models to translate text by analyzing large amounts of bilingual text data to identify the best translation matches.
- Neural Machine Translation. This technique uses deep learning models to produce more fluent and accurate translations by considering entire sentences instead of word-by-word.
- Rule-based Machine Translation. This approach uses predefined linguistic rules and dictionaries to convert one language into another, focusing on grammar and syntax.
- Hybrid Machine Translation. This method combines different translation strategies, such as statistical and rule-based systems, to improve translation quality and flexibility.