How does Kazakh Machine Translation work?
- Neural Machine Translation (NMT). NMT leverages deep learning models to understand and generate translations contextually, providing more accurate and fluent results compared to older methods.
- Rule-Based Translation. This method uses predefined linguistic rules and dictionaries to translate text, focusing on grammatical structure and meaning.
- Statistical Machine Translation (SMT). SMT relies on statistical models derived from analyzing large corpora of bilingual texts to generate translations based on probabilities.
- Hybrid Approaches. Hybrid methods combine various techniques, such as rule-based and statistical, to enhance translation quality and address the limitations of individual methods.