How does Hungarian Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models to translate text based on the analysis of large corpora of bilingual text.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to create more fluent translations by understanding context and relationships between words.
- Rule-Based Machine Translation (RBMT). RBMT relies on hand-crafted linguistic rules and dictionaries for translation, emphasizing grammatical and syntactical correctness.
- Hybrid Machine Translation. Hybrid systems combine aspects of both statistical and rule-based methods to enhance translation quality and coverage.