How does Hausa Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models, such as recurrent neural networks, to generate translations based on large datasets, improving accuracy and fluency.
- Statistical Machine Translation (SMT). SMT relies on statistical models to translate text by analyzing the relationships between words and phrases in the source and target languages.
- Rule-Based Translation. This method uses grammatical rules and bilingual dictionaries to translate text, focusing on linguistic structures and syntax.
- Hybrid Approaches. Hybrid methods combine various techniques, such as NMT, SMT, and rule-based methods, to leverage the strengths of each for better translation quality.