How does Estonian Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to predict the probability of a sequence of words, enabling more fluent and natural translations than previous techniques.
- Statistical Machine Translation (SMT). SMT relies on statistical models to determine the likelihood of a translation based on the analysis of large corpora of bilingual text.
- Rule-Based Machine Translation (RBMT). RBMT employs linguistic rules and dictionaries, allowing for translations based on grammatical and syntactical structures of languages.
- Hybrid Machine Translation. Hybrid approaches combine elements of both statistical and neural translation methods, aiming to enhance translation accuracy and context understanding.