Local Information fused Transformer model for Korean-Chinese Machine Translation
Author:
Affiliation:
1. Yanbian University,Integration College,Yanji,China
2. Yanbian Univerity,Foreign Language College,Yanji,China
3. Yanbian University,Inst. of Intelligent Information Processing,Yanji,China
Funder
National Natural Science Foundation of China
Yanbian University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10373215/10373216/10373264.pdf?arnumber=10373264
Reference15 articles.
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2. Sequence to sequence learning with neural networks[J];Sutskever;Advances in neural information processing systems,2014
3. Neural machine translation by jointly learning to align and translate[J];Bahdanau,2014
4. Attention is all you need[J];Vaswani;Advances in neural information processing systems,2017
5. RNN Neural Network Model for Chinese-Korean Translation Learning
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