How does Swedish Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models to predict the likelihood of sequences of words being translated into each other based on large corpora of bilingual text.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to produce translations that are context-aware and grammatically coherent, often providing more fluent results than traditional methods.
- Rule-Based Machine Translation (RBMT). RBMT relies on predefined linguistic rules and dictionaries to translate text, ensuring that the grammar and syntax correspond appropriately between languages.
- Hybrid Machine Translation. Hybrid approaches combine various methods, such as SMT and RBMT, to leverage the strengths of each for improved translation accuracy and fluency.