How does Norwegian Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models to translate text based on the analysis of bilingual corpora and can improve over time with more data.
- Neural Machine Translation (NMT). NMT employs deep learning models that understand context better than traditional methods, producing more fluent and coherent translations.
- Rule-Based Machine Translation (RBMT). RBMT relies on linguistic rules and dictionaries for translation, making it useful for specific domains where high accuracy is required.
- Hybrid Machine Translation. Hybrid MT combines different approaches (e.g., SMT and NMT) to leverage the strengths of each method for enhanced translation quality.