How does Belarusian Machine Translation work?
- Statistical Machine Translation (SMT). This technique uses statistical models to generate translations based on the analysis of large text corpora.
- Neural Machine Translation (NMT). NMT employs deep learning algorithms to create more fluent and context-aware translations by processing whole sentences instead of in parts.
- Rule-Based Machine Translation (RBMT). RBMT uses a set of predefined linguistic rules for both the source and target languages to produce translations.
- Hybrid Machine Translation. This method combines multiple translation approaches, typically SMT and RBMT, to improve accuracy and fluency in translations.