Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)

Simulating the Quantitative Variation of Language Speakers under Globalization

Authors
Zhen Song, Jiaqian Chen, Xiao Han
Corresponding Author
Zhen Song
Available Online March 2018.
DOI
10.2991/mmsa-18.2018.102How to use a DOI?
Keywords
Markov chain; trend extrapolation; migration; zglobalization
Abstract

This paper analyzes the quantity changes of speakers among the major languages in the world. We apply trend extrapolation to forecast native speakers. Meanwhile, we apply Markov chain to simulate the process of migration and learn dynamic changes of non-native speakers. We conclude that Mandarin Chinese ranks first and 63% migrants as language carriers choose the U.S. and thus English maintains its status. We finally list top 10 languages in terms of numbers of native speakers and total speakers.

Copyright
© 2018, 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 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/mmsa-18.2018.102
ISSN
1951-6851
DOI
10.2991/mmsa-18.2018.102How to use a DOI?
Copyright
© 2018, 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  - Zhen Song
AU  - Jiaqian Chen
AU  - Xiao Han
PY  - 2018/03
DA  - 2018/03
TI  - Simulating the Quantitative Variation of Language Speakers under Globalization
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 460
EP  - 463
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.102
DO  - 10.2991/mmsa-18.2018.102
ID  - Song2018/03
ER  -