How does Pashto Machine Translation work?
- Statistical Machine Translation. This method uses statistical models derived from bilingual text data to generate translations, analyzing patterns and probabilities.
- Neural Machine Translation. A deep learning approach that models entire sentences as a single entity, allowing for context-aware translations and more fluent output.
- Rule-Based Machine Translation. This method employs handcrafted grammatical rules and linguistic knowledge to translate text, ensuring grammatical correctness and adherence to linguistic structures.
- Hybrid Machine Translation. Combines multiple translation methodologies to capitalize on their strengths and mitigate their weaknesses, improving overall translation quality.