How does Greek Machine Translation work?
- Statistical Machine Translation (SMT). This approach uses statistical models to understand the likelihood of word sequences in translations based on large corpora of bilingual text.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to model the overall context of a sentence and provides more fluent translations by considering entire sentences rather than individual words.
- Rule-based Machine Translation (RBMT). RBMT utilizes predefined linguistic rules to perform translations, relying on linguistic knowledge about the source and target languages.
- Hybrid Machine Translation. This method combines various techniques, such as rule-based, statistical, and neural approaches to optimize translation quality.