How does Real Time Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to predict the next word in a sentence, allowing for more natural and fluent translations.
- Speech Recognition. This method captures spoken language and converts it to text, which can then be translated in real time.
- Machine Learning. Machine Learning techniques improve translation accuracy by learning from large datasets of bilingual texts and user interactions.
- Contextual Analysis. This method analyzes the context of phrases and sentences to produce translations that are sensitive to nuances and idiomatic expressions.