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The graphical representation of phonological dialect features of the North of England on social media
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Abstract:
Recent research on dialect variation using social media data has so far provided evidence that spelling variants that reflect phonological dialect features are found in social media posts, such as tweets. This is an important finding because it opens the possibility of analysing the dialect of a region using naturally occurring social media posts as opposed to using interviews or questionnaires. In this study, using a corpus of 183 million geo-coded tweets totalling 1.8 billion words, we explore how phonological features of the dialects of the North of England such as HAPPY-laxing (e.g. happy > happeh; funny > funneh) or the monophthongisation of [aʊ] to [uː] are realised graphically by social media users. We present results that show that the geographical distribution of these features as found on Twitter is similar to the one attested from other studies carried out with traditional methods. Furthermore, our research reveals how and how often these dialect features are used in written online communication, adding to our understanding of the relationship between language and the projection of identity.
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URL: https://eprints.whiterose.ac.uk/164005/
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| 2 |
Mapping Lexical Dialect Variation in British English Using Twitter
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In: Front Artif Intell (2019)
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The application of growth curve modeling for the analysis of diachronic corpora
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Analyzing lexical emergence in modern American English online
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Understanding U.S. regional linguistic variation with Twitter data analysis
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