{"title":"语言发展预测","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":"{\"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}","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}
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.