How does Machine Translation API work?
- Neural Machine Translation (NMT). NMT uses deep learning techniques to predict the next word in a sentence, leading to more fluent and natural translations.
- Statistical Machine Translation (SMT). SMT relies on statistical models to translate text based on probabilities derived from large datasets, producing good quality translations using historical text data.
- Rule-Based Machine Translation (RBMT). RBMT utilizes linguistic rules and bilingual dictionaries to generate translations, focusing on grammar and syntax.
- Post-Editing. This involves human translators reviewing and correcting machine-generated translations to improve accuracy and readability.