How does Uyghur Machine Translation work?
- Neural Machine Translation (NMT). NMT is a deep learning method where entire sentences are processed as a whole rather than word by word, improving the contextual understanding.
- Statistical Machine Translation (SMT). SMT relies on statistical models to predict the translation of phrases based on bilingual text data, leveraging large corpora of text for accuracy.
- Rule-Based Translation. This method utilizes predefined linguistic rules and dictionaries for translation, focusing on grammatical and syntactic structure of languages.
- Transfer-Based Translation. Transfer-Based Translation translates source text into an intermediate representation before converting it into the target language, combining structural analysis with lexical transfer.