How does Corsican Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to predict the translation of sentences as a whole, ensuring contextual understanding and fluency.
 - Statistical Machine Translation (SMT). SMT relies on statistical models derived from large corpora, allowing for effective translation based on probabilities of word sequences.
 - Rule-Based Machine Translation (RBMT). RBMT employs hand-crafted linguistic rules and dictionaries to translate text, making it highly accurate for specific language pairs.
 - Post-Editing. Post-editing involves human editors refining machine-generated translations to improve quality and precision, ensuring naturalness in output.
 


