How does Scots Machine Translation work?
- Neural Machine Translation. This method uses deep learning techniques to provide more accurate translations by considering the entire context of a sentence rather than just individual words.
 - Statistical Machine Translation. This approach relies on statistical methods and large datasets to predict translations based on the probabilities of word sequences.
 - Rule-Based Translation. A method that employs a set of predefined linguistic rules to both analyze the source language and construct the target language.
 - Hybrid Machine Translation. This combines different translation methods, such as rule-based and statistical, to enhance translation accuracy and handle complex linguistic challenges.
 


