How does Hebrew Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models based on large corpora of bilingual text to generate translations.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to produce more fluent and context-aware translations by considering entire sentences rather than words.
- Rule-Based Machine Translation (RBMT). RBMT relies on linguistic rules defined for both the source and target languages to create translations, ensuring grammatical accuracy.
- Hybrid Machine Translation. This method combines approaches from SMT, NMT, and RBMT to optimize translation quality and efficiency.