How does Frisian Machine Translation work?
- Statistical Machine Translation. This method uses statistical models to generate translations based on patterns derived from large corpora of bilingual text.
 - Neural Machine Translation. Utilizing deep learning, this approach models entire sentences in a single integrated model, enhancing translation fluency and accuracy.
 - Rule-Based Machine Translation. This technique relies on a comprehensive set of linguistic rules and dictionaries to convert text from one language to another with high fidelity.
 - Post-Editing. This is a human-in-the-loop approach where translators refine and edit machine-generated translations to improve accuracy and contextual relevance.
 


