How does Malayalam Machine Translation work?
- Statistical Machine Translation. This method uses statistical models to relate source and target languages by analyzing large corpora of bilingual text.
- Neural Machine Translation. This approach employs deep learning techniques to generate more fluent and accurate translations by considering entire sentences rather than phrases.
- Rule-based Machine Translation. This method relies on predefined linguistic rules and grammar to convert text from the source language to Malayalam.
- Hybrid Machine Translation. This technique combines elements of both statistical and rule-based methods to enhance translation quality and context accuracy.