How does Haitian Machine Translation work?
- Statistical Machine Translation. This method uses statistical models to translate text by analyzing large amounts of bilingual text data to learn the probabilities of word and phrase occurrences.
- Neural Machine Translation. Neural Machine Translation utilizes deep learning models to perform translation tasks, offering improved fluency and coherence in the translated results.
- Rule-Based Translation. This approach relies on predefined linguistic rules and dictionaries to convert text from one language to another, focusing on grammatical and syntactical correctness.
- Hybrid Translation. Hybrid Translation combines elements of both statistical and rule-based methods to achieve more accurate and contextually appropriate translations.