BriefGPT.xyz
May, 2017
带有线性联想单元的深度神经机器翻译
Deep Neural Machine Translation with Linear Associative Unit
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Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu
TL;DR
通过使用线性联想单元, 我们提出了一种新的方法来降低深层NMT系统中的梯度扩散问题, 在中英翻译任务上表现显著,能够提高11.7 BLEU.
Abstract
deep neural networks
(DNNs) have provably enhanced the state-of-the-art
neural machine translation
(NMT) with their capability in modeling complex functions and capturing complex linguistic structures. However NM
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