How does Japanese Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models based on the analysis of bilingual text corpora to generate translations.
- Neural Machine Translation (NMT). NMT employs deep learning techniques, utilizing neural networks to predict translations from larger contexts for improved accuracy.
- Rule-based Machine Translation (RBMT). RBMT relies on hand-crafted grammatical rules and dictionaries, providing structured translations based on linguistic rules.
- Hybrid Machine Translation. This approach combines multiple techniques, such as statistical and rule-based methods, to enhance translation quality and flexibility.