How does Bulgarian Machine Translation work?
- Statistical Machine Translation. This method uses statistical models to derive translations based on the analysis of bilingual text corpora.
- Neural Machine Translation. Neural models leverage deep learning techniques to produce more fluent and accurate translations by assessing entire sentences.
- Rule-based Translation. Rule-based systems use predefined linguistic rules to translate text, ensuring grammatical accuracy and contextual relevance.
- Hybrid Machine Translation. This approach combines various translation techniques to optimize the accuracy and quality of the output.