How does Italian Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models to translate text based on the probability of word sequences from large bilingual corpora.
 - Neural Machine Translation (NMT). NMT utilizes deep learning techniques to model entire sentences, improving fluency and context in translations.
 - Rule-Based Machine Translation (RBMT). RBMT translates text based on a set of predefined linguistic rules and dictionaries, focusing on grammatical structure.
 - Hybrid Machine Translation. Hybrid approaches combine various techniques, such as statistical and rule-based methods, to enhance translation quality and accuracy.
 


