How does Uzbek Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to improve the fluency and accuracy of translations by considering entire sentences rather than word-by-word.
- Statistical Machine Translation (SMT). SMT models translations based on statistical data and algorithms, analyzing large corpora to identify patterns and correlations between languages.
- Rule-Based Machine Translation (RBMT). RBMT relies on predefined linguistic rules and dictionaries to perform translations, ensuring adherence to grammatical and syntactical standards.
- Hybrid Machine Translation. Hybrid systems combine multiple translation approaches, such as NMT and SMT, to leverage the strengths of each method and enhance overall performance.