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论文解读:Selective Attention for Context-aware Neural Machine Translation
时间 2021-01-11
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论文解读:Selective Attention for Context-aware Neural Machine Translation 当前诸多的神经机器翻译工作着力于句子级别(sentence-level)的sequence2sequence,很少考虑到整个文档级别(document-level)的上下文信息,本文作者Sameen Maruf、Andre F. T. Martins和Gh
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相关文章
1.
attention model--Neural machine translation by jointly learning to align and translate论文解读
2.
论文解读:On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation
3.
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4.
Fine-Grained Attention Mechanism for Neural Machine Translation 论文笔记
5.
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings 论文总结
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论文笔记(Attention 2)-----Effective Approaches to Attention-based Neural Machine Translation
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【论文阅读】Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
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Paper:Effective Approaches to Attention-based Neural Machine Translation
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论文阅读——Modeling Future Cost for Neural Machine Translation
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