{"title":"Prediction of Language Development","authors":"Shuya Liu","doi":"10.2991/ERSS-18.2019.142","DOIUrl":null,"url":null,"abstract":"Since entering the 21st century, the factors influencing linguistic distribution such as electronic communication devices and social media have seen unprecedented growth. Therefore, we have selected the data on the number of users in each of the languages used in the past 10 years and have carried out these data with the year Fitting and selecting the 6th-order function with higher accuracy, we get the relationship between the number of language users and the year of the year. In the relation, each power of year x has its corresponding coefficient, which can be regarded as different factors (for example, social media. The use of the national population, education and social pressures, etc.) as a function of year relative change in language usage. I make prediction of the development of language in next few years based on the formula and data.","PeriodicalId":319724,"journal":{"name":"Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ERSS-18.2019.142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Since entering the 21st century, the factors influencing linguistic distribution such as electronic communication devices and social media have seen unprecedented growth. Therefore, we have selected the data on the number of users in each of the languages used in the past 10 years and have carried out these data with the year Fitting and selecting the 6th-order function with higher accuracy, we get the relationship between the number of language users and the year of the year. In the relation, each power of year x has its corresponding coefficient, which can be regarded as different factors (for example, social media. The use of the national population, education and social pressures, etc.) as a function of year relative change in language usage. I make prediction of the development of language in next few years based on the formula and data.
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语言发展预测
进入21世纪以来,电子通信设备、社交媒体等影响语言分布的因素出现了前所未有的增长。因此,我们选取了过去10年使用的每种语言的用户数量数据,并对这些数据进行了年份拟合,选择精度较高的6阶函数,我们得到了语言用户数量与当年年份的关系。在关系中,x年的每一次幂都有对应的系数,可以看作是不同的因素(例如social media)。使用国家人口、教育和社会压力等)作为语言使用的年相对变化函数。我根据公式和数据对未来几年的语言发展进行了预测。
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