How does Chinese Machine Translation work?
- Statistical Machine Translation (SMT). SMT relies on statistical models derived from bilingual text corpora to create translations based on likelihood and frequency of phrases.
- Neural Machine Translation (NMT). NMT uses deep learning models to understand and generate translations, providing context-aware translations that are often more fluent than previous methods.
- Rule-Based Machine Translation (RBMT). RBMT employs a set of linguistic rules to translate text, heavily relying on grammar and syntax, which can be more precise for specific language pairs.
- Hybrid Machine Translation. Hybrid approaches combine various methods, such as SMT and NMT, to leverage the strengths of each and improve overall translation quality.