How does Czech Machine Translation work?
- Statistical Machine Translation. This method uses statistical models derived from bilingual text corpora to generate translations based on probabilities.
- Neural Machine Translation. Neural networks are employed to understand the context of sentences, providing more fluent and coherent translations.
- Rule-Based Machine Translation. This approach relies on a set of linguistic rules and dictionaries, translating text based on grammatical and syntactical guidelines.
- Hybrid Machine Translation. Combines various methods, such as statistical and rule-based techniques, to enhance translation accuracy and quality.