2021
DOI: 10.2478/icame-2021-0002
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Supporting the corpus-based study of Shakespeare’s language: Enhancing a corpus of the First Folio

Abstract: This article explores challenges in the corpus linguistic analysis of Shakespeare’s language, and Early Modern English more generally, with particular focus on elaborating possible solutions and the benefits they bring. An account of work that took place within the Encyclopedia of Shakespeare’s Language Project (2016–2019) is given, which discusses the development of the project’s data resources, specifically, the Enhanced Shakespearean Corpus. Topics covered include the composition of the corpus and its subco… Show more

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Cited by 5 publications
(1 citation statement)
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“…A corpus could be something as broad as the British National Corpus 2014 (BNC2014) (Love et al, 2017;Brezina, Hawtin and McEnery, 2021), which aims to represent British English as it stood throughout the early 2010s; but it could equally have more modest ambitions and aim to represent a smaller and more specialised varietysomething like the works of Shakespeare (Culpeper et al, 2021) or the language of business meetings (Handford, 2010). These smaller corpora are incredibly useful to the discourse analyst, allowing 'a much closer link between the corpus and the contexts in which the texts in the corpus were produced' (Koester, 2022: 49).…”
Section: Corpus Building For Cadsmentioning
confidence: 99%
“…A corpus could be something as broad as the British National Corpus 2014 (BNC2014) (Love et al, 2017;Brezina, Hawtin and McEnery, 2021), which aims to represent British English as it stood throughout the early 2010s; but it could equally have more modest ambitions and aim to represent a smaller and more specialised varietysomething like the works of Shakespeare (Culpeper et al, 2021) or the language of business meetings (Handford, 2010). These smaller corpora are incredibly useful to the discourse analyst, allowing 'a much closer link between the corpus and the contexts in which the texts in the corpus were produced' (Koester, 2022: 49).…”
Section: Corpus Building For Cadsmentioning
confidence: 99%