How does Malagasy Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to predict and translate entire sentences, improving the fluency and accuracy of translations.
- Statistical Machine Translation (SMT). SMT relies on statistical models and large datasets to generate translations based on the likelihood of word and phrase occurrences in the target language.
- Rule-Based Machine Translation (RBMT). RBMT uses predefined linguistic rules and grammars to convert text from one language to another, ensuring a systematic approach to translation.
- Transfer-Based Translation. This method involves analyzing the source sentence, transforming it into an intermediate representation, and generating the final sentence in the target language.