How does Cebuano Machine Translation work?
- Neural Machine Translation (NMT). This method uses deep learning models to predict the translation of entire sentences, improving context understanding and fluency.
- Rule-Based Translation. This approach relies on linguistic rules and dictionaries to convert text between languages, often ensuring high accuracy at the cost of flexibility.
- Statistical Machine Translation (SMT). SMT uses statistical models based on bilingual text corpora to estimate the most probable translation based on word and phrase frequencies.
- Hybrid Translation. This method combines features from both rule-based and statistical approaches to enhance translation quality and adaptability.