Study on Language Deep Learning by DDL under the Circumstances of A.I.

A Comparative Analysis of Chinese and Korean English Learners’ Corpus

DOI

10.2991/assehr.k.211220.285How to use a DOI?

Keywords

Artificial intelligence; data-driven learning; deep learning

Abstract

Artificial intelligence (AI) improves the progress of educational concepts, accelerates the educational reformation, promotes the development of educational technology, changes the teaching and learning methods. In the field of second language acquisition, data-driven learning contributes to the language deep learning because it focus on the process of learning and pays attention to learners’ intuition and reflection. Based on Chinese and Korean learners’ written corpus, this study applies the three-step procedure of “identify, classify and generalize” to analyze the similarities and differences among Chinese, Korean learners and native speakers on the use of high-frequency words, key words and collocation. It aims to draw attention to learners’ cognitive process and improve learners’ language normality.

Copyright

© 2021 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Jinrong HOU
PY  - 2021
DA  - 2021/12/24
TI  - Study on Language Deep Learning by DDL under the Circumstances of A.I.
BT  - Proceedings of the 2021 4th International Conference on Humanities Education and Social Sciences (ICHESS 2021)
PB  - Atlantis Press
SP  - 1687
EP  - 1691
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211220.285
DO  - 10.2991/assehr.k.211220.285
ID  - HOU2021
ER  -