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

Applied Corpus Linguistics(2022)

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摘要
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 In addition, adjectives reflecting experiential engagement with tree/s and forest/s have progressively been replaced by a discourse of scientific identification and governmental dominion.
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关键词
Collocation,Diachronic analysis,Ecolinguistics,Corpus-assisted discourse studies
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