How does Shona Machine Translation work?
- Statistical Machine Translation (SMT). This method uses statistical models to translate text based on the analysis of bilingual text corpora.
- Neural Machine Translation (NMT). NMT leverages deep learning models to produce translations that are more fluent and contextually appropriate.
- Rule-Based Machine Translation (RBMT). RBMT applies linguistic rules to translate text, relying on detailed knowledge of the languages involved.
- Hybrid Machine Translation. This approach combines various translation methods to enhance accuracy and contextual relevance.