How does Slovak Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to produce high-quality translations by predicting the translation of entire sentences rather than word-by-word.
- Statistical Machine Translation (SMT). SMT employs statistical models based on the analysis of bilingual text corpora, enabling the translation of phrases and terms based on their frequency of occurrence.
- Rule-based Machine Translation (RBMT). RBMT relies on linguistic rules and dictionaries to translate text, ensuring grammatical correctness but often lacking in fluency.
- Hybrid Machine Translation. This approach combines multiple translation methods, such as NMT and SMT, to improve translation quality and handle various text types effectively.