How does Sesotho Machine Translation work?
- Statistical Machine Translation (SMT). SMT uses statistical models based on bilingual text corpora to generate translations. It calculates the probability of a translation based on observed patterns in the data.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to create more contextually accurate translations. It processes entire sentences rather than just phrases, enabling better handling of nuanced language.
- Rule-based Machine Translation (RBMT). RBMT relies on extensive grammatical rules and dictionaries specific to the Sesotho language. It constructs translations based on these predefined linguistic rules.
- Hybrid Machine Translation. This method combines both statistical and rule-based approaches to leverage the strengths of each, improving translation accuracy and fluency.