How does Offline Translation API work?
- Neural Machine Translation. This technique uses deep learning models to analyze entire sentences, considering context and producing more fluent translations.
- Statistical Machine Translation. This method relies on statistical models that predict the most likely translation based on large datasets of bilingual text.
- Rule-Based Translation. This approach uses predefined linguistic rules and dictionaries, producing translations based on grammar rather than context.
- Transfer-Based Translation. This method translates text by first converting it to an intermediate representation before generating the final output in the target language.