How does Amharic Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning algorithms to provide more natural and fluent translations by considering the entire context of a sentence.
- Statistical Machine Translation (SMT). SMT relies on statistical models and large corpora of bilingual texts to generate translations based on probability.
- Rule-based Machine Translation (RBMT). RBMT uses linguistic rules and dictionaries to translate text, often requiring extensive pre-programmed linguistic knowledge.
- Hybrid Machine Translation. Hybrid methods combine various techniques, such as NMT and SMT, to leverage their strengths and improve overall translation quality.