How does Free Machine Translation API work?
- Neural Machine Translation (NMT). NMT uses deep learning models to provide more accurate translations by considering the context of entire sentences rather than word-for-word translation.
- Statistical Machine Translation (SMT). SMT relies on statistical models to convert one language into another based on the probability of occurrence of phrases and word sequences.
- Rule-Based Translation. This method uses predefined linguistic rules and dictionaries to translate text, often providing high accuracy for specific language pairs.
- Convolutional Neural Networks (CNN). CNNs are utilized in processing and understanding complex sentence structures and patterns in languages, enhancing translation quality significantly.