A neural machine translation method based on split graph convolutional self-attention encoding

A neural machine translation method based on split graph convolutional self-attention encoding

With the continuous advancement of deep learning technologies, neural machine translation (NMT) has emerged as a powerful tool for enhancing communication efficiency among the members of cross-language collaborative teams. Among the various available approaches, leveraging syntactic dependency relat...

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Bibliographic Details
Main Authors:	Fei Wan, Ping Li
Format:	Article
Language:	English
Published:	PeerJ Inc. 2024-02-01
Series:	PeerJ Computer Science
Subjects:	Neural machine translation Syntactic dependency relations Graph convolution Split self-attention
Online Access:	https://peerj.com/articles/cs-1886.pdf

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