How does Swahili Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models based on the analysis of bilingual text corpora to generate translations, focusing on the probabilities of word sequences.
- Neural Machine Translation (NMT). NMT employs artificial neural networks to model the translation process, allowing for higher-quality translations by considering entire sentences rather than individual phrases.
- Rule-based Machine Translation (RBMT). RBMT relies on a set of predefined linguistic rules to translate text, ensuring that grammar and syntax are maintained during the conversion process.
- Hybrid Machine Translation. Hybrid approaches combine multiple techniques, such as SMT and NMT, to leverage the strengths of each, resulting in improved translation outcomes.