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

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

其他 2018-05-26 15:35:40 阅读次数: 0

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转载自blog.csdn.net/beforeeasy/article/details/80332497

【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

论文笔记(Attention 2)-----Effective Approaches to Attention-based Neural Machine Translation

Effective Approaches to Attention-based Neural Machine Translation 学习笔记

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

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

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

Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder

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

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

Effective Approaches to Attention-based Neural Machine Translation(Global和Local attention)

多标签分类：Effective Approaches to Attention-based Neural Machine Translation

LSTM-Attention模型：Effective Approaches to Attention-based Neural Machine Translation

【论文笔记】Attention总结一：基于论文Neural Machine Translation by Jointly Learning to Align and Translate

论文阅读（三）：Text2Sign: Towards Sign Language Production using Neural Machine Translation and GAN

论文阅读 | Shared-Private Bilingual Word Embeddings for Neural Machine Translation

论文阅读：Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation

Neural Machine Translation by Jointly Learning to Align and Translate阅读笔记

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

注意力机制论文笔记：Neural Machine Translation by Jointly Learning to Align and Translate

NEURAL MACHINE TRANSLATION

论文笔记：GRU----RNN Encoder-Decoder

论文阅读：Dual Learning for Machine Translation

论文解读：Semantic Neural Machine Translation using AMR

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

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

SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition ---论文阅读笔记

[文献阅读]—Unsupervised Neural Machine Translation with Universal Grammar

[文献阅读]—When and Why is Unsupervised Neural Machine Translation Useless?

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