How does Catalan Machine Translation work?
- Statistical Machine Translation. This method uses statistical models to generate translations based on the analysis of bilingual text corpora.
- Neural Machine Translation. Neural networks are employed to learn complex patterns in large datasets, producing more fluent and contextually appropriate translations.
- Rule-Based Translation. This approach relies on hand-crafted linguistic rules and dictionaries to translate language pairs, ensuring grammatical accuracy.
- Hybrid Systems. Hybrid systems combine various translation methods to improve the overall accuracy and quality of the translated text.