How does Myanmar Machine Translation work?
- Statistical Machine Translation. This method leverages statistical models, analyzing large amounts of bilingual text to generate translations based on probabilities.
- Neural Machine Translation. Employing deep learning techniques, this method translates by understanding the context of entire sentences, improving fluency and accuracy.
- Rule-Based Machine Translation. This approach uses predefined linguistic rules and dictionaries to perform translations, often requiring extensive language knowledge.
- Hybrid Machine Translation. Combining elements of both statistical and rule-based methods, this approach aims to enhance the quality and reliability of translations.