How does Danish Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning to create continuous representations of words, improving the quality of translations by considering context more effectively.
- Rule-based Machine Translation (RBMT). RBMT relies on predefined linguistic rules for both the source and target languages, ensuring grammatical accuracy in the translations.
- Statistical Machine Translation (SMT). SMT employs statistical models to translate text based on probabilities derived from large bilingual text corpora.
- Hybrid Machine Translation. This combines different translation methodologies, leveraging the strengths of both statistical and rule-based approaches for better accuracy.