How does Vietnamese Machine Translation work?
- Statistical Machine Translation (SMT). This method uses statistical models to predict the likelihood of a sequence of words, effectively generating translations based on large bilingual corpora.
 - Neural Machine Translation (NMT). NMT employs deep learning models to understand context and semantic meaning, allowing for more natural and fluent translations.
 - Rule-based Machine Translation. This technique relies on predefined linguistic rules and grammatical structures to translate text, often requiring extensive language expertise.
 - Hybrid Machine Translation. Combining multiple approaches, hybrid methods use various techniques in tandem to enhance translation quality and coverage across contexts.
 


