How does Serbian Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models to generate translations based on the analysis of bilingual text corpora.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to create more contextually accurate translations by considering entire sentences rather than individual words.
- Rule-Based Machine Translation (RBMT). RBMT relies on a set of linguistic rules to translate text, allowing for high precision in grammar and syntax.
- Hybrid Machine Translation. This approach combines different methods like SMT and NMT to leverage the strengths of each for better translation performance.