How does Indonesian Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models to translate languages by analyzing patterns in large datasets of bilingual text.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to understand context in sentences, resulting in more natural and fluent translations.
- Rule-Based Machine Translation (RBMT). RBMT relies on handcrafted linguistic rules and dictionaries for translating text, ensuring high accuracy for structured languages.
- Hybrid Machine Translation. This approach combines elements from both statistical and neural translation methods to enhance translation quality and efficiency.