Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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Application of Data-Driven Semantic Map Modeling in International Education of Chinese

Authors
Ying Zhang1, *
1Harbin Institute of Technology, Shenzhen, Shenzhen, China
*Corresponding author. Email: yzhangbc@163.com
Corresponding Author
Ying Zhang
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_215How to use a DOI?
Keywords
data analysis; SMM; CCG; Chinese education; universal quantification
Abstract

To better reveal the patterns of negative interlingual transfers made by international learners of Chinese, large-scale cross-linguistic data are required to be compared. In presenting and analyzing big set of data from 71 languages of the world, the study employs digital technologies of data analysis and map modeling to present a Semantic Map Model (SMM) related to the notion of “universal quantification”. Besides, a Communicative and Controlled Graph (CCG) based on parameters of Probability Entailment, which is also known as Weighted Map with Least Edges by frequencies of occurrences, has also verified the validity of the connective pattern of the original SMM. By comparing the detailed SMMs of Chinese and Hindi, the study instantiates how data-driven map modeling techniques shed light on predicting and correcting the possible semantic errors made by international Chinese learners.

Copyright
© 2023 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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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_215How to use a DOI?
Copyright
© 2023 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.

Cite this article

risenwbib
TY  - CONF
AU  - Ying Zhang
PY  - 2023
DA  - 2023/06/30
TI  - Application of Data-Driven Semantic Map Modeling in International Education of Chinese
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1942
EP  - 1949
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_215
DO  - 10.2991/978-94-6463-172-2_215
ID  - Zhang2023
ER  -