Research based on the development trend of world language
DOI:
https://doi.org/10.30564/ret.v1i4.110Abstract
Multicoloured languages play an irreplaceable role in the whole world as a useful communication tool. With the development of technology and science, varieties of languages have an ideal prospective tendency to evolution during the long and wonderful history. Will they be thriving or decaying?
To begin with, aimed to gain general tendency about the quantity of languages’ speakers, we employ the Grey prediction to capture associative curve which can be seen in figure(1). From the trend of this vivid figure, we not only can come to the conclusion that the number of English and Chinese users tend to increase but also find that Spanish development will reach the period of stagnation.
Secondly, for further improvement, we take birth rate, death rate, economic factors and the immigration into consideration and establish the language communication model. This model is deduced from the population prediction model and virus transmission model. After data normalization, the eventual curve indicates that current top-ten languages seem to be replace by other languages. This transformation phenomenon also occurs among such top-ten languages. For instance, Hindustani will replace Spanish in the future when seen from table(1).
What’s more, after predicting the migration pattern, we can draw the conclusion that some range of languages’ dissemination has obvious change. As show in vivid figure(14), we know English will popularize widely among neighbouring countries such as Canada, Mexico, Cuba and Russia.
Moreover, with regard to how to manage international offices’ quantity and locations in the world, we construct the efficiency model with combination of the Bayes’ probability theory and Fussy comprehensive assessment. As a result, we obtain 9 optimal plans to establish the international offices. Intelligible result is showed in table(4) and table(5).
Furthermore, taking the variation of global communication and shortage of nature resource into consideration, therefore, we propose the international company to set up no more than 5 offices. And 5 offices tend to be the most optimal plan.
In short, our model is reasonable and feasible, which can accommodate to different situation.
Keywords:
language communication model, Grey prediction, efficiency model, the Bayes’ theorem, Fussy comprehensive assessment,References
[1]Dai Mingqiang, Zhu Yaxin <Mathmatical Model and Its Application>[M], Science, 2015, 2 :41-53
[2]Lin Feng, Zhang Xiulan <Mathematical Modeling Experiment>[M], Chemical Industry Press
[3]https://en.wikipedia.org/wiki/List_of_languages_by_total_number_of_speakers January 17, 2018
[4]"Summary by language size". Ethnologue. Retrieved 2016-04-06.
[5] Juliette Stehl© , Nicolas Voirin et al. Simulation of an SEIR infectious disease medel on the dynamic contact network of conference attendees[J]. BMC Medicine 2011, 9:87
[6]Lie Zheng, Yongsong Zhu et al. Mathematical Model[M]. Science 2013,7:189:191
[7]Nila Mu. A Preliminary Analysis of the Use of World Languages and Its Development Trend[J]. Central U niversity for Nationalities.
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Copyright © 2018 Man Xiao, Long Mao, Hongmei Meng, Jinping Liu, Huan Li, Hongzheng Yan

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


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