How does Kannada Translation API work?
- Neural Machine Translation. Utilizes deep learning algorithms to improve translation accuracy by considering the context of entire sentences rather than word-by-word translation.
- Statistical Machine Translation. Employs statistical models to translate text by analyzing large corpora of linguistic data to identify patterns and probabilities.
- Language Modeling. Incorporates language models that predict the likelihood of a given sequence of words, enhancing the fluency and coherence of translations.
- Real-time Translation. Provides instant translation results to enable immediate communication and user interaction, especially useful in applications and chat systems.