Autor: |
Sanjaya, Dedi, Siregar, Masitowarni, Riswanto, Yusuf, Muhammad, Husain, Mohd Pirdaus Mat |
Předmět: |
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Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2732 Issue 1, p1-6, 6p |
Abstrakt: |
The purpose of this study is to describe the corrective feedback application machine development for English writing activities using Deep Learning (DL) technology. The process of the development is starting by collecting data, defining and classifying data, selecting DL algorithms, processing nodes, and evaluating out-put. This study indicates that the suitable DL algorithms for symbolized corrected feedback application machine is Recurrent Neural Networks (RNNs) and the output meets the writing corrected feedback indicators. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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