How does Kurdish Machine Translation work?
- Statistical Machine Translation. This method uses statistical models derived from the analysis of bilingual text corpora to make translations based on probabilities.
- Neural Machine Translation. Neural networks are employed to produce translations by modeling the entire sentence at once, significantly improving fluency and naturalness.
- Rule-based Machine Translation. This approach relies on hand-crafted linguistic rules and dictionaries to translate text, ensuring adherence to grammatical norms.
- Hybrid Machine Translation. A combination of different methods, such as statistical and rule-based approaches, to leverage their strengths for better accuracy in translations.