How does Urdu Machine Translation work?
- Rule-Based Translation. This method uses predefined linguistic rules and dictionaries to translate text, focusing on syntax and grammar.
- Statistical Machine Translation. This approach leverages statistical models based on large corpora to generate translations by analyzing language patterns.
- Neural Machine Translation. Utilizing deep learning models, this method generates translations by understanding context and semantics, often resulting in more fluent outputs.
- Hybrid Machine Translation. Combining rule-based and statistical methods, hybrid translation aims to capitalize on the strengths of both approaches for improved accuracy.