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A Domain Ontology and Software Platform for Collaborative Personal Data Analytics Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Cellular Automata Epidemic (CAE) Model for Language Development Prediction

Authors : Hangyao Tu, Wanliang Wang, Yanwei Zhao, Lingyan Zhang

Published in: Cooperative Design, Visualization, and Engineering

Publisher: Springer International Publishing

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Abstract

This paper proposes a cellular-automata-epidemic (CAE) model which is a combination of cellular-automata and epidemic model for predicting the language development in 50 years. In this model, three factors are considered: the international trade, global tourism and social communication. The Principal Component Analysis (PCA) is used to calculate scores which rank the effect of languages. The language which learned by people are chose by the roulette algorithm. The result shows that Bengali, Punjabi languages will fall out of top 10 and the language of French and German will get into the top 10. We believe that this work will contribute to the construction of linguistic disciplines and the development of languages.

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Metadata
Title
Cellular Automata Epidemic (CAE) Model for Language Development Prediction
Authors
Hangyao Tu
Wanliang Wang
Yanwei Zhao
Lingyan Zhang
Copyright Year
2019
Book
Cooperative Design, Visualization, and Engineering

Print ISBN: 978-3-030-30948-0

Electronic ISBN: 978-3-030-30949-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-30949-7_3