How does Punjabi Machine Translation work?
- Statistical Machine Translation (SMT). This method uses statistical models to translate text by analyzing large corpuses of bilingual text and identifying patterns for translation.
- Neural Machine Translation (NMT). NMT employs deep learning techniques to create more accurate translations by understanding the context and semantics of the text.
- Hybrid Approaches. Combining various methods like rule-based and statistical techniques to enhance translation accuracy and context understanding.
- Pre-trained Language Models. Utilizing models trained on vast amounts of text data to improve the quality and fluency of translations by leveraging contextual nuances.