How does Tajik Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning techniques to enhance the accuracy of translations by considering entire sentences rather than just individual words.
- Statistical Machine Translation (SMT). SMT relies on statistical models to analyze bilingual text corpora, translating based on the probabilities of word combinations.
- Rule-Based Machine Translation (RBMT). RBMT uses linguistic rules and grammar structures to facilitate translation, relying on a predefined set of grammatical rules for both the source and target languages.
- Hybrid Machine Translation. This method combines multiple translation approaches, integrating NMT with SMT or RBMT for improved quality and contextual accuracy.