How does Luxembourgish Machine Translation work?
- Statistical Machine Translation. This method uses statistical models to determine the probability of a certain translation based on previous data, enabling automatic translation between languages.
 - Neural Machine Translation. Utilizing deep learning techniques, this approach generates translations by understanding the context and semantics of the sentences, often producing more fluent results.
 - Rule-Based Machine Translation. This method relies on a comprehensive set of linguistic rules and dictionaries, allowing precise translations that adhere closely to grammar and syntax.
 - Hybrid Machine Translation. Combining elements of both statistical and rule-based methods, this technique aims to enhance accuracy and flexibility in translations.
 


