A corpus-assisted ecolinguistic analysis of the representations of tree/s and forest/s in US discourse from 1820-2019

Robert Poole , Marco A. Micalay-Hurtado
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引用次数: 1

Abstract

This study presents a corpus-assisted ecolinguistic analysis of the evolving discursive representations of tree/s and forest/s in US American discourse from 1820 to 2019 in the approximately 475-million word Corpus of Historical American English (Davies, 2010). To explore these entities and their depictions in prevailing discourse, this study performs a diachronic collocation analysis of adjectives occurring with the terms across the span of the corpus. The analysis identified the 100 most frequent adjective collocates appearing with the singular and plural forms of tree/s and forest/s and calculated Kendall's tau correlation coefficient scores using decade-by-decade per million use rates in order to empirically assess the strength of trends in language use. The findings indicate a divergence in broadly positive and negative representations over the time span as adjectives construing poor health and lack of vitality are rising while adjectives conveying positive attributes of size, beauty, and wellbeing are declining. In addition, adjectives reflecting experiential engagement with tree/s and forest/s have progressively been replaced by a discourse of scientific identification and governmental dominion.

1820-2019年美国语篇中tree/s和forest/s表征的语料库辅助生态语言学分析
本研究在大约4.75亿单词的美国历史英语语料库中,对1820年至2019年美国话语中tree/s和forest/s的话语表征演变进行了语料库辅助的生态语言学分析(Davies, 2010)。为了探索这些实体及其在主流语篇中的描述,本研究对语料库中与术语一起出现的形容词进行了历时性搭配分析。该分析确定了100个最常见的形容词搭配,与tree/s和forest/s的单数和复数形式一起出现,并计算了Kendall的tau相关系数得分,以每100万次使用率为单位,以经验评估语言使用趋势的强度。研究结果表明,随着时间的推移,积极和消极的表达出现了分歧,表达健康状况不佳和缺乏活力的形容词越来越多,而表达体型、美丽和幸福等积极属性的形容词越来越少。此外,反映与tree/s和forest/s的经验接触的形容词已逐渐被科学认同和政府统治的话语所取代。
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来源期刊
Applied Corpus Linguistics
Applied Corpus Linguistics Linguistics and Language
CiteScore
1.30
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70 days
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