Research on Language Distribution Prediction Based on ARIMA Model
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Yaling Ma, Hui Li, Zhexi Liu, Xia Wu
order to predict language distribution in the next 50 years, we use the phenomena of immigrations among different continents to describe the changes of geographic distribution. We analysis changes of language distribution of a specific language only through the immigration status of countries whose native language ranks top ten. We assess the immigration data, and use two formulas to calculate net immigration rate and total immigration rate, then we use the ARIMA model to predict the corresponding rate of change in 50 years. Using the assessed distribution status of top ten languages in 2017, we will analysis changes in language geographic distribution in the future.
IMA, time series, language distribution