How does Private Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to provide context-aware translations, significantly improving the accuracy and fluency of the output.
 - Rule-Based Translation. This method applies a set of linguistic rules and dictionaries to perform translations, ensuring precision for specific language pairs.
 - Statistical Machine Translation (SMT). SMT relies on statistical models to decode the probabilities of word sequences for translating text, allowing adaptability based on previously translated corpora.
 - Hybrid Translation. A combination of approaches that leverages both statistical and neural methods, providing flexibility and high-quality translations for complex scenarios.
 


