How does Hmong Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to predict the likelihood of a sequence of words, offering more natural translations compared to traditional methods.
- Statistical Machine Translation (SMT). SMT analyzes large amounts of bilingual text data to learn how words and phrases translate from one language to another based on statistical patterns.
- Rule-Based Machine Translation (RBMT). RBMT relies on a set of predefined linguistic rules to convert text from one language to another, often requiring extensive linguistic expertise.
- Hybrid Machine Translation. This method combines different translation techniques to leverage the strengths of each, improving translation quality for specific contexts or languages.