How does Machine Translation in Tamil work?
- Statistical Machine Translation. This method uses statistical models to predict the best translation based on a large corpus of previously translated texts.
 - Neural Machine Translation. Neural networks are used to produce translations that are more fluent and contextually appropriate by learning from vast amounts of multilingual data.
 - Rule-Based Machine Translation. This approach relies on defined linguistic rules and bilingual dictionaries to convert text, ensuring grammatical correctness.
 - Hybrid Machine Translation. Combining elements of both rule-based and statistical methods, hybrid translation systems enhance accuracy and fluency in translations.
 


