Methods for Improving English Vocabulary Learning Efficiency Based on Deep Learning Technology

DOI

10.2991/978-2-38476-309-2_30How to use a DOI?

Keywords

Deep learning technology; English vocabulary learning; personalized teaching

Abstract

To enhance the efficiency of English vocabulary learning for non-native speakers, this study employs deep learning technology to optimize the vocabulary learning process by constructing encoder-decoder models. The analysis shows that this method significantly improves learners’ speed and quality in mastering specialized and low-frequency vocabulary, achieving a more personalized learning path, and has important implications for the modernization of language education.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiangliu Yu
PY  - 2024
DA  - 2024/12/09
TI  - Methods for Improving English Vocabulary Learning Efficiency Based on Deep Learning Technology
BT  - Proceedings of the 2024 9th International Conference on Modern Management, Education and Social Sciences (MMET 2024)
PB  - Atlantis Press
SP  - 243
EP  - 254
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-309-2_30
DO  - 10.2991/978-2-38476-309-2_30
ID  - Yu2024
ER  -