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基于双向RNN,Attention机制的编解码神经机器翻译模型

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RNN-NMT

基于双向RNN,Attention机制的编解码神经机器翻译模型

基于tensorflow,实现了单向或双向编码,并且在解码阶段应用Attention机制,最终实现一个简单的神经机器翻译模型。
提供了两个翻译预料库(中文——英文、英文——越南语)。
程序主入口为nmt.py,初始需要进行超参设置,model_train.py进行模型训练,model_infer.py进行模型推断(端到端翻译)。  

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