Deep Character-Level Neural Machine Translation
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Updated
Feb 17, 2017 - Python
Deep Character-Level Neural Machine Translation
Collocates multiple machine translation outputs for qualitative analysis
Scripts for Tartu Neural MT systems for WMT 17
Code for "Variational Neural Machine Translation" (EMNLP2016)
An implementation of RNNsearch using TensorFlow
Neural Machine Translation with Keras (Theano/Tensorflow)
Extend/Passing extra source tokens to seq2seq encoder (PyTorch)
基于双向RNN,Attention机制的编解码神经机器翻译模型
NMT for chinese-english using tensor2tensor
nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.
NLP961 project: Neural machine translation
Neural Machine Translation using seq2seq and attention mechanisms
Sequence to sequence learning using TensorFlow.
Introduction nmt-chatbot is the implementation of chatbot using NMT - Neural Machine Translation (seq2seq). Includes BPE/WPM-like tokenizator (own implementation). Main purpose of that project is to make an NMT chatbot, but it's fully compatible with NMT and still can be used for sentence translations between two languages.
Variational Neural Machine Translation System
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