How does Javanese Machine Translation work?
- Statistical Machine Translation. This method utilizes statistical models based on analyzing large corpora of text to create a probability distribution for potential translations.
- Neural Machine Translation. Utilizing deep learning techniques, this method trains neural networks to convert texts end-to-end, improving fluency and contextual understanding in translations.
- Rule-Based Translation. This method relies on a set of predefined linguistic rules and dictionaries to translate texts from one language to another, ensuring grammatical accuracy.
- Hybrid Translation. Combining multiple methods, this approach aims to leverage the strengths of various translation techniques for better accuracy and context handling.