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

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

其他 2019-10-24 11:22:17 阅读次数: 0

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转载自blog.csdn.net/MaybeForever/article/details/102514097

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

多标签分类：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(Global和Local attention)

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

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

《Effective Approaches to Attention-based Neural Machine Translation》—— 基于注意力机制的有效神经机器翻译方法

多标签分类：NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE

多标签分类：Google‘s Neural Machine Translation System

Neural+machine+translation+with+attention+-+v3

Phrase-Based & Neural Unsupervised Machine Translation

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

NEURAL MACHINE TRANSLATION

Fine-Grained Attention Mechanism for Neural Machine Translation

[coursera/SequenceModels/week3]Neural machine translation with attention[assignment]

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

《Neural Machine Translation in Linear Time》

Paper Summary: Neural Machine Translation

Low-resource Neural Machine Translation

Sequence Models Week 3 Neural Machine Translation

Unsupervised Neural Machine Translation with Weight Sharing

Unsupervised Neural Machine Translation with SMT as Posterior Regularization

INCORPORATING BERT INTO NEURAL MACHINE TRANSLATION翻译

Explicit Sentence Compression for Neural Machine Translation翻译

Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation

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

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

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

Seq2Seq + Attention详解（基于NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE）

基于树模型的机器翻译《Forest-Based Neural Machine Translation》

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