How does Ukrainian Translation API work?
- Neural Machine Translation. This method uses deep learning models to provide more accurate and contextually relevant translations by analyzing entire sentences rather than word-by-word.
- Statistical Machine Translation. This approach relies on statistical models derived from existing translations to generate approximations of text in the target language.
- Rule-Based Translation. Rule-based translation utilizes handcrafted linguistic rules and dictionaries to facilitate the conversion of text between languages.
- API Call Integration. This allows developers to implement the translation functionality directly into their applications via simple API calls, making it easy to add multi-lingual support.