How does Kyrgyz Machine Translation work?
- Statistical Machine Translation. This method uses statistical models based on the analysis of bilingual text corpora to predict translations.
- Neural Machine Translation. Leveraging deep learning, this technique models the entire translation process with neural networks for more accurate and fluent translations.
- Rule-Based Machine Translation. This approach relies on predefined linguistic rules and dictionaries, resulting in more controlled but less flexible translations.
- Hybrid Machine Translation. Combining different techniques, this method aims to take advantage of the strengths of statistical, neural, and rule-based translation systems for better results.