Neural Machine Translation of Electrical Engineering Based on Integrated Convolutional Neural Networks

Neural Machine Translation of Electrical Engineering Based on Integrated Convolutional Neural Networks

Research has shown that neural machine translation performs poorly on low-resource and specific domain parallel corpora. In this paper, we focus on the problem of neural machine translation in the field of electrical engineering. To address the mistranslation caused by the Transformer model’s limite...

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Bibliographic Details
Main Authors: Zikang Liu, Yuan Chen, Juwei Zhang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Electronics
Subjects:
neural machine translation
feature information
convolutional neural network
electrical engineering
low resource
Online Access:https://www.mdpi.com/2079-9292/12/17/3604

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