How does Russian Machine Translation work?
- Statistical Machine Translation (SMT). This method uses statistical models to translate text by analyzing vast amounts of bilingual data to find patterns and generate translations.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to understand and generate translations, resulting in more fluent and natural-sounding outputs.
- Rule-Based Machine Translation (RBMT). RBMT relies on predefined linguistic rules and dictionaries, translating text based on grammatical structure.
- Hybrid Machine Translation. This approach combines multiple translation methods, such as SMT and NMT, to leverage the strengths of each for improved accuracy and fluency.