How does Hebrew Translation API work?
- Neural Machine Translation. This method uses deep learning techniques to provide high-quality translations by generating coherent and contextually relevant translations.
 - Statistical Machine Translation. This older method relies on statistical models and large corpora of bilingual text to create translations, offering a different approach to translation performance.
 - Customizable Translation Models. Users can adjust translation models to better suit their terminology and preferences, ensuring that the output is tailored for specific industries.
 - Real-time Translation. This feature allows for immediate translation of text input, enabling seamless user experiences in applications requiring quick communication.
 


