How does Tagalog Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models to determine the likelihood of phrases and their translations based on a large corpus of bilingual text data.
- Neural Machine Translation (NMT). NMT employs deep learning algorithms to model and predict translations as entire sentences rather than word-by-word, often leading to more fluent and contextually accurate results.
- Rule-Based Machine Translation (RBMT). RBMT involves the use of hand-crafted grammar rules and dictionaries to translate text, aiming for high accuracy in structural elements but often lacking in fluidity.
- Hybrid Machine Translation. This approach combines different techniques, such as SMT, NMT, and RBMT to leverage their strengths for better overall translation quality.