How does Maltese Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning models to improve the accuracy and fluency of translations by understanding context in language patterns.
- Statistical Machine Translation (SMT). SMT relies on statistical models based on multilingual text corpora to predict translations, focusing on the likelihood of word sequences.
- Rule-Based Machine Translation (RBMT). RBMT uses predefined linguistic rules and dictionaries for translations, ensuring grammatical correctness at the cost of flexibility.
- Hybrid Translation. Hybrid Translation combines multiple methods (e.g., NMT and SMT) to leverage the strengths of each technique for improved translation results.