How does Corsican Translator App work?
- Neural Machine Translation. This method uses deep learning models to translate text with more contextual accuracy compared to traditional methods.
- Speech Recognition. Speech recognition technology converts spoken language into text, allowing for voice translations in real-time.
- Contextual Analysis. Contextual analysis helps the app understand the context of words in sentences, improving translation quality.
- User Feedback Integration. User feedback is collected to continuously improve translation accuracy and app performance through machine learning.