Corpus-Based Discourse Analysis of Climate Change in TED

English Language Teaching and Linguistics Studies Pub Date : 2023-12-11 DOI:10.22158/eltls.v5n5p139

Beibei Li

引用次数: 0

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.

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基于语料库的 TED 气候变化话语分析

本研究以沃尔夫冈-图伯特的意义即话语自参照理论为指导，形成了两个自建的气候变化小型语料库，并采用语料库分析的方法，利用Word mith 6.0对2006-2022年TED中376篇气候变化语录进行了定量和定性分析。研究发现，2006-2019年的TED演讲与2019-2022年的TED演讲存在异同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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English Language Teaching and Linguistics Studies

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