{"title":"文学翻译中的统计研究方法","authors":"E. A. Morozkina, V. V. Vorobyev, Z. M. Safina","doi":"10.33184/dokbsu-2023.3.15","DOIUrl":null,"url":null,"abstract":"ed texts. The conclusion is made about the fractal self-similarity of the lexical structure of the text. The use of statistical methods of literary text analysis can contribute to improving the quality of translation.","PeriodicalId":487179,"journal":{"name":"Doklady Baškirskogo universiteta","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical research methods in literary translation\",\"authors\":\"E. A. Morozkina, V. V. Vorobyev, Z. M. Safina\",\"doi\":\"10.33184/dokbsu-2023.3.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ed texts. The conclusion is made about the fractal self-similarity of the lexical structure of the text. The use of statistical methods of literary text analysis can contribute to improving the quality of translation.\",\"PeriodicalId\":487179,\"journal\":{\"name\":\"Doklady Baškirskogo universiteta\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Doklady Baškirskogo universiteta\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33184/dokbsu-2023.3.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Doklady Baškirskogo universiteta","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33184/dokbsu-2023.3.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical research methods in literary translation
ed texts. The conclusion is made about the fractal self-similarity of the lexical structure of the text. The use of statistical methods of literary text analysis can contribute to improving the quality of translation.