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What is the difference between neural and hybrid machine translation?

Date:2023-01-08
Neural Machine Translation (NMT) uses large artificial neural networks (ANNs) to translate text from one language to another, while Hybrid Machine Translation (HMT) combines multiple translation methods, such as NMT, statistical translation models, and rule-based machine translation (RBMT). NMT is considered to be more accurate in terms of producing better quality translations as it better adapts to the complex grammar and nuances of languages. On the other hand, HMT is faster and less data intensive as it combines multiple approaches to translation, yet can still provide adequate quality translations.
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