NMT stands for Neural Machine Translation. It's a deep learning approach to machine translation that uses large neural networks to directly learn the mapping between input and output sequences (e.g., sentences in different languages). Unlike traditional phrase-based statistical machine translation, NMT attempts to model the entire sentence at once, capturing long-range dependencies and generating more fluent and natural translations. Common applications include translating web pages, documents, and conversations.
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