{"title":"基于语料库的 TED 气候变化话语分析","authors":"Beibei Li","doi":"10.22158/eltls.v5n5p139","DOIUrl":null,"url":null,"abstract":"In this research, guided by Wolfgang Tuebert’s theory of meaning as discourse self-reference, two small self-built climate change corpora are formed and the method of corpus analysis is used to make both quantitative and qualitative analyses of 376 transcripts of climate change in TED from 2006 to 2022 by using Word mith 6.0. The study found there are similarities and differences between TED Talks 2006-2019 and 2019-2022.","PeriodicalId":129739,"journal":{"name":"English Language Teaching and Linguistics Studies","volume":"6 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Corpus-Based Discourse Analysis of Climate Change in TED\",\"authors\":\"Beibei Li\",\"doi\":\"10.22158/eltls.v5n5p139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, guided by Wolfgang Tuebert’s theory of meaning as discourse self-reference, two small self-built climate change corpora are formed and the method of corpus analysis is used to make both quantitative and qualitative analyses of 376 transcripts of climate change in TED from 2006 to 2022 by using Word mith 6.0. The study found there are similarities and differences between TED Talks 2006-2019 and 2019-2022.\",\"PeriodicalId\":129739,\"journal\":{\"name\":\"English Language Teaching and Linguistics Studies\",\"volume\":\"6 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"English Language Teaching and Linguistics Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22158/eltls.v5n5p139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"English Language Teaching and Linguistics Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22158/eltls.v5n5p139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Corpus-Based Discourse Analysis of Climate Change in TED
In this research, guided by Wolfgang Tuebert’s theory of meaning as discourse self-reference, two small self-built climate change corpora are formed and the method of corpus analysis is used to make both quantitative and qualitative analyses of 376 transcripts of climate change in TED from 2006 to 2022 by using Word mith 6.0. The study found there are similarities and differences between TED Talks 2006-2019 and 2019-2022.