How does Igbo Machine Translation work?
- Rule-Based Translation. This technique relies on linguistic rules and dictionaries to translate text, ensuring accurate grammar and syntax.
- Statistical Machine Translation. Translates text based on statistical models derived from large datasets of translated text, allowing for better contextual translations.
- Neural Machine Translation. Utilizes deep learning algorithms that improve translation quality by understanding context and nuances better than previous models.
- Hybrid Approaches. Combines elements of rule-based and statistical methods to capture the strengths of both techniques for more accurate translations.