How does Persian Machine Translation work?
- Statistical Machine Translation. This method uses statistical models to predict the likelihood of a translation based on bilingual text corpora.
- Neural Machine Translation. Utilizing deep learning, this approach models entire sentences as a whole, improving contextual understanding compared to earlier methods.
- Rule-Based Machine Translation. This method relies on predefined linguistic rules and dictionaries to generate translations, ensuring grammatical accuracy.
- Hybrid Machine Translation. Combining multiple techniques, this approach leverages the strengths of different methods for improved translation quality.