How does Azerbaijani Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning techniques to generate translations that are more fluent and contextually appropriate by considering entire sentences.
- Statistical Machine Translation (SMT). SMT relies on statistical models that analyze large corpora of bilingual text data to produce translations based on observed patterns.
- Rule-based Machine Translation (RBMT). RBMT uses linguistic rules and grammar-based algorithms to translate text, focusing on the syntactic structures of the source and target languages.
- Hybrid Machine Translation. This approach combines various machine translation methods, like NMT and RBMT, to enhance translation quality and reliability.