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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Veröffentlicht in:	IEEE Information Technology, Networking, Electronic and Automation Control Conference (Online) Jg. 7; S. 1441 - 1445
1. Verfasser:	Ye, Ying
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 20.09.2024
Schlagworte:	Analytical models Artificial neural networks Attention mechanisms Convolutional Neural Networks (CNN) Data models Deep learning Deep neural network algorithms English machine translation models Machine translation Solid modeling Solids Training
ISSN:	2693-3128
Online-Zugang:	Volltext
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