How does German Machine Translation work?
- Statistical Machine Translation. This method uses statistical models based on the analysis of bilingual text corpora to generate translations.
- Neural Machine Translation. Utilizes neural networks to create more fluent and context-aware translations by learning from vast amounts of text data.
- Rule-Based Machine Translation. Involves the use of linguistic rules and dictionaries to translate text, relying on a deep understanding of both source and target languages.
- Hybrid Machine Translation. Combines statistical and rule-based methods to take advantage of their individual strengths for improved translation accuracy.