论文解读：DTMT: A Novel Deep Transition Architecture for Neural Machine Translation - 代码天地

论文解读：DTMT: A Novel Deep Transition Architecture for Neural Machine Translation

其他 2020-04-19 16:42:02 阅读次数: 0

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转载自blog.csdn.net/qq_36426650/article/details/104309116

论文解读：DTMT: A Novel Deep Transition Architecture for Neural Machine Translation

论文解读：Semantic Neural Machine Translation using AMR

论文解读：Selective Attention for Context-aware Neural Machine Translation

论文阅读：《Neural Machine Translation by Jointly learning to Align and Translation》

NEURAL MACHINE TRANSLATION

【论文阅读】Neural Machine Translation by Jointly Learning to Align and Translate

【论文笔记】Neural Machine Translation by Jointly Learning to Align and Translate

论文阅读笔记|NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE

《Neural Machine Translation in Linear Time》

Paper Summary: Neural Machine Translation

论文阅读：《Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation》

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【论文】on the properties of neural machine translation :Encoder-decoder approaches 阅读笔记

【论文笔记】Effective Approaches to Attention-based Neural Machine Translation

Sampled Softmax 论文笔记：On Using Very Large Target Vocabulary for Neural Machine Translation

论文笔记(attention 1)----NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE

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