Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Research on Efficient English Teaching Model Combining Corpus Microtext Analysis
Yong Tang
Yong Tang
Department of Foreign Languages, Nanchong Vocational and Technical College
Nanchong, China
Search for this author on
Sciendo
|
Google Scholar
Tang, Yong
and
Hongping Chen
Hongping Chen
Department of Foreign Languages, Nanchong Vocational and Technical College
Nanchong, China
Search for this author on
Sciendo
|
Google Scholar
Chen, Hongping
Jan 31, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Jan 31, 2024
Received:
Dec 13, 2023
Accepted:
Dec 20, 2023
DOI:
https://doi.org/10.2478/amns-2024-0082
Keywords
Corpus
,
Word2Vec word embedding
,
Cosine similarity
,
Efficient English teaching
© 2024 Yong Tang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.