How does Hindi Machine Translation work?
- Statistical Machine Translation (SMT). SMT relies on statistical models to predict the probability of a given translation based on large parallel corpora of source and target languages.
- Neural Machine Translation (NMT). NMT uses deep learning to train models that can understand language context better, providing more fluent translations by considering entire sentences.
- Rule-Based Translation. This method uses a set of linguistic rules and dictionaries to translate text, focusing on grammatical and syntactic structures of both languages.
- Hybrid Machine Translation. A combination of various methods, hybrid translation utilizes the strengths of different models to enhance accuracy and fluency in translations.