How does Yoruba Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to improve the quality of translations by considering entire sentences rather than word-by-word translation.
- Statistical Machine Translation (SMT). SMT relies on statistical models to predict the probability of a translation based on a large corpus of bilingual text.
- Rule-Based Machine Translation (RBMT). RBMT involves predefined linguistic rules and dictionaries to translate between languages, focusing on grammatical and syntactical accuracy.
- Transfer-Based Machine Translation. This technique transforms syntactic structures and semantic representations from one language to another to achieve translation.