{"title":"蒙古语中的英语外来词","authors":"Minna Bao, Saheya Brintag, Dabhurbayar Huang","doi":"10.53482/2021_50_386","DOIUrl":null,"url":null,"abstract":"Many authors have examined the influence of loanwords in languages using statistical methods. However, English loanwords in Mongolian are rarely studied in quantitative linguistics. The results of the present study show that English loanwords in Mongolian share the universal feature of other tested languages, as their frequency distribution abides by Zipf’s Law. In addition, we define and test nine English loanword models depending on borrowing method and parts of speech, and find that the results can be described using a power function.","PeriodicalId":51918,"journal":{"name":"Glottometrics","volume":"154 1","pages":"27-41"},"PeriodicalIF":0.2000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"English Loanwords in Mongolian Usage\",\"authors\":\"Minna Bao, Saheya Brintag, Dabhurbayar Huang\",\"doi\":\"10.53482/2021_50_386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many authors have examined the influence of loanwords in languages using statistical methods. However, English loanwords in Mongolian are rarely studied in quantitative linguistics. The results of the present study show that English loanwords in Mongolian share the universal feature of other tested languages, as their frequency distribution abides by Zipf’s Law. In addition, we define and test nine English loanword models depending on borrowing method and parts of speech, and find that the results can be described using a power function.\",\"PeriodicalId\":51918,\"journal\":{\"name\":\"Glottometrics\",\"volume\":\"154 1\",\"pages\":\"27-41\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Glottometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53482/2021_50_386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Glottometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53482/2021_50_386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"LINGUISTICS","Score":null,"Total":0}
Many authors have examined the influence of loanwords in languages using statistical methods. However, English loanwords in Mongolian are rarely studied in quantitative linguistics. The results of the present study show that English loanwords in Mongolian share the universal feature of other tested languages, as their frequency distribution abides by Zipf’s Law. In addition, we define and test nine English loanword models depending on borrowing method and parts of speech, and find that the results can be described using a power function.
期刊介绍：
The aim of Glottometrics is quantification, measurement and mathematical modeling of any kind of language phenomena. We invite contributions on probabilistic or other mathematical models (e.g. graph theoretic or optimization approaches) which enable to establish language laws that can be validated by testing statistical hypotheses.
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