{"title":"区分翻译和非翻译外交话语的语言指标:联合国一般性辩论的历时分析(1946-2022)","authors":"Lin Shen , Haidee Kotze","doi":"10.1016/j.lingua.2025.103933","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines the linguistic features that distinguish translated from untranslated English diplomatic discourse at the United Nations General Debate (UNGD) and investigates whether these features change from 1946 to 2022 and vary in relation to English language varieties. The translation features identified by elastic net regression analysis suggest that translated texts exhibit higher levels of formality, abstractness, and informational density than untranslated texts, aligning with existing studies on translated language. Over time, the translated texts tend to lag behind untranslated speeches in terms of language change, supporting the notion that UN translation is a conservative language variety: UN translators tend to be slow in adopting innovative usages, preferring established variants. Varietal differences are also evident in relation to the selected translation features. These findings contribute to the understanding of translated language and underscore the importance of considering diachronic analysis and varietal influences in relation to the features of translated language.</div></div>","PeriodicalId":47955,"journal":{"name":"Lingua","volume":"320 ","pages":"Article 103933"},"PeriodicalIF":1.3000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linguistic indicators differentiating translated and untranslated diplomatic discourse: A diachronic analysis of the United Nations General Debate (1946–2022)\",\"authors\":\"Lin Shen , Haidee Kotze\",\"doi\":\"10.1016/j.lingua.2025.103933\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study examines the linguistic features that distinguish translated from untranslated English diplomatic discourse at the United Nations General Debate (UNGD) and investigates whether these features change from 1946 to 2022 and vary in relation to English language varieties. The translation features identified by elastic net regression analysis suggest that translated texts exhibit higher levels of formality, abstractness, and informational density than untranslated texts, aligning with existing studies on translated language. Over time, the translated texts tend to lag behind untranslated speeches in terms of language change, supporting the notion that UN translation is a conservative language variety: UN translators tend to be slow in adopting innovative usages, preferring established variants. Varietal differences are also evident in relation to the selected translation features. These findings contribute to the understanding of translated language and underscore the importance of considering diachronic analysis and varietal influences in relation to the features of translated language.</div></div>\",\"PeriodicalId\":47955,\"journal\":{\"name\":\"Lingua\",\"volume\":\"320 \",\"pages\":\"Article 103933\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lingua\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0024384125000580\",\"RegionNum\":3,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lingua","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0024384125000580","RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
Linguistic indicators differentiating translated and untranslated diplomatic discourse: A diachronic analysis of the United Nations General Debate (1946–2022)
This study examines the linguistic features that distinguish translated from untranslated English diplomatic discourse at the United Nations General Debate (UNGD) and investigates whether these features change from 1946 to 2022 and vary in relation to English language varieties. The translation features identified by elastic net regression analysis suggest that translated texts exhibit higher levels of formality, abstractness, and informational density than untranslated texts, aligning with existing studies on translated language. Over time, the translated texts tend to lag behind untranslated speeches in terms of language change, supporting the notion that UN translation is a conservative language variety: UN translators tend to be slow in adopting innovative usages, preferring established variants. Varietal differences are also evident in relation to the selected translation features. These findings contribute to the understanding of translated language and underscore the importance of considering diachronic analysis and varietal influences in relation to the features of translated language.
期刊介绍:
Lingua publishes papers of any length, if justified, as well as review articles surveying developments in the various fields of linguistics, and occasional discussions. A considerable number of pages in each issue are devoted to critical book reviews. Lingua also publishes Lingua Franca articles consisting of provocative exchanges expressing strong opinions on central topics in linguistics; The Decade In articles which are educational articles offering the nonspecialist linguist an overview of a given area of study; and Taking up the Gauntlet special issues composed of a set number of papers examining one set of data and exploring whose theory offers the most insight with a minimal set of assumptions and a maximum of arguments.