Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)

Development and Application of Language Teaching System Based on Intelligent Identification Technology

Authors
Yanmei Meng, Zhengru Xu, Weili Chu
Corresponding Author
Yanmei Meng
Available Online May 2017.
DOI
10.2991/icaset-17.2017.65How to use a DOI?
Keywords
Intelligent identification technology, Language teaching, Requirement analysis, System development
Abstract

In this paper, it proposes a solution to the problems in the current language teaching in China by using intelligent identification technology, so as to design a set of language teaching system based on intelligent identification technology. Through test, it proves that this shows system can improve the students' cognitive ability to language during the process of teaching, which can be regarded as a useful supplement to language teaching.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-340-1
ISSN
2352-5401
DOI
10.2991/icaset-17.2017.65How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanmei Meng
AU  - Zhengru Xu
AU  - Weili Chu
PY  - 2017/05
DA  - 2017/05
TI  - Development and Application of Language Teaching System Based on Intelligent Identification Technology
BT  - Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
PB  - Atlantis Press
SP  - 334
EP  - 338
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-17.2017.65
DO  - 10.2991/icaset-17.2017.65
ID  - Meng2017/05
ER  -