How does Xhosa Machine Translation work?
- Statistical Machine Translation. This technique relies on statistical models to predict the likelihood of a sequence of words, improving translation accuracy based on existing data.
- Neural Machine Translation. Uses deep learning models to understand context and translate text in a more human-like manner, enhancing the quality and coherence of the output.
- Rule-Based Machine Translation. Involves a predefined set of linguistic rules for both source and target languages, allowing for syntactic and semantic accuracy in translations.
- Hybrid Systems. Combines various translation methods, leveraging the strengths of each to improve translation output and handle diverse linguistic challenges.