How does Malay Machine Translation work?
- Statistical Machine Translation (SMT). SMT relies on statistical models to analyze bilingual text corpora and predict translations based on observed patterns.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to create context-aware translations, considering entire sentences rather than individual words.
- Rule-based Machine Translation (RBMT). RBMT uses predefined linguistic rules to convert text from one language to another, often requiring extensive linguistic expertise.
- Hybrid Systems. Hybrid systems combine elements of SM, NMT, and RBMT to leverage the strengths of multiple methods for improved translation quality.