Design of English Machine Translation Models Based on Deep Neural Network Algorithms

To enhance the accuracy and fluency of English machine translation, this study designed a translation model based on deep neural network algorithms. Utilizing an encoder-decoder architecture with an integrated attention mechanism, the model's ability to capture linguistic context is significant...

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Bibliographic Details
Published in:IEEE Information Technology, Networking, Electronic and Automation Control Conference (Online) Vol. 7; pp. 1441 - 1445
Main Author: Ye, Ying
Format: Conference Proceeding
Language:English
Published: IEEE 20.09.2024
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ISSN:2693-3128
Online Access:Get full text
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