How does Yiddish Machine Translation work?
- Statistical Machine Translation (SMT). This method uses statistical models to translate text based on the likelihood of word sequences appearing in the source and target languages.
- Neural Machine Translation (NMT). This approach employs deep learning and neural networks to produce translations, capturing contextual meanings and producing more fluent translations.
- Rule-Based Machine Translation (RBMT). This technique applies linguistic rules and dictionaries to translate text, typically more structured but less flexible than other methods.
- Hybrid Machine Translation. This combines various methodologies to leverage the strengths of each, enhancing translation quality and accuracy for complex language pairs like Yiddish.