How does Icelandic Machine Translation work?
- Rule-Based Translation. Rule-based translation relies on a set of predefined linguistic rules to convert text from one language to another. It often requires extensive linguistic knowledge and can be accurate but is limited by the rules defined.
- Statistical Machine Translation. This method uses statistical models derived from bilingual text corpora to predict the likelihood of a sequence of words. It provides flexibility but may lack context in translations.
- Neural Machine Translation. Neural machine translation employs deep learning techniques to understand and translate languages. It generally provides more fluent and natural translations by leveraging large datasets.
- Hybrid Approach. A hybrid approach combines different methods, such as rule-based and statistical, to improve translation quality and handle diverse language pairs more effectively.
