How does Mongolian Machine Translation work?
- Statistical Machine Translation. This method relies on statistical models to convert text based on previously collected bilingual corpora.
- Neural Machine Translation. Utilizing deep learning models, this approach provides more fluent and context-aware translations by analyzing entire sentences.
- Rule-based Machine Translation. This method uses predefined linguistic rules for translation, ensuring grammatical accuracy and adherence to language structures.
- Hybrid Approaches. Combining different methodologies, hybrid approaches aim to leverage the strengths of both statistical and neural methods for improved translation quality.