How does Khmer Machine Translation work?
- Neural Machine Translation (NMT). NMT uses deep learning algorithms to model the translation process, improving context understanding and resulting in more fluent translations.
- Statistical Machine Translation (SMT). SMT relies on statistical models to analyze the likelihood of sequences in the source and target languages, offering a systematic approach to translation.
- Rule-Based Machine Translation (RBMT). RBMT approaches translation through a predefined set of linguistic rules, allowing for high-quality translations between languages with consistent grammars.
- Hybrid Machine Translation. This method combines aspects of both NMT and SMT, merging their strengths to enhance translation performance and accuracy.