Residual Information Flow for Neural Machine Translation

Residual Information Flow for Neural Machine Translation

Automatic machine translation plays an important role in reducing language barriers between people speaking different languages. Deep neural networks (DNN) have attained major success in diverse research fields such as computer vision, information retrieval, language modelling, and recently machine...

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Bibliographic Details
Main Authors: Shereen A. Mohamed, Mohamed A. Abdou, Ashraf A. Elsayed
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Information flow
neural machine translation
neural sequence-to-sequence networks
residual connections
WMT14 English-German translation task
Online Access:https://ieeexplore.ieee.org/document/9941153/

Internet

https://ieeexplore.ieee.org/document/9941153/

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