Episode 10 | Professor Michaela Mahlberg on LITERARY LINGUISTICS
Oct 4, 2022 ·
48m 47s
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Description
Join Dr Robbie Love as he speaks with top researchers in the field to find out more about how corpus linguistics – the study of linguistic patterns in large samples...
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Join Dr Robbie Love as he speaks with top researchers in the field to find out more about how corpus linguistics – the study of linguistic patterns in large samples of language – is applied to a diverse range of areas including health, social justice and education.
Professor Michaela Mahlberg (University of Birmingham) joins Dr Robbie Love to discuss the contribution of corpus linguistics to research in literary linguistics.
Michaela’s research views language as a social phenomenon and explores the way in which people use language to understand and shape the world we live in.
A large part of Michaela’s research focuses on the language of Dickens’s fiction, literary linguistics, and discourse analysis.
Michaela is Director of the Centre for Corpus Research at the University of Birmingham. CCR supports the use of corpus analysis in research, teaching and learning, with particular focus on the links between psycholinguistics, cognitive linguistics, literary stylistics and statistics.
The University of Birmingham has an established tradition in corpus linguistics, with the development of major corpora since the 1970s, including the 17 million word Birmingham Collection of English Text, developed in the 1980s, and the Bank of English, in the 1990s. Under the direction of John Sinclair, Birmingham hosted the Cobuild project, and developed corpus lexicography in the 1980s.
The CLiC web app, started by Michaela, demonstrates through corpus stylistics how computer-assisted methods can be used to study literary texts and lead to new insights into how readers perceive fictional characters.
Dr Robbie Love 👉 https://bit.ly/3pSAvUx
Professor Michaela Mahlberg 👉 https://bit.ly/3SchNlV
CLiC Web App 👉 https://bit.ly/3QQ9ETp
School of Social Sciences and Humanities 👉 https://bit.ly/3JCRAd1
Aston Centre for Applied Linguistics 👉 https://bit.ly/3xxrJP9
English, Languages and Applied Linguistics 👉 https://bit.ly/3dkYIPY
Find out more about courses related to this show 👉 https://bit.ly/3pR705k
#TeamAston #CorpusCast #linguistics
show less
Professor Michaela Mahlberg (University of Birmingham) joins Dr Robbie Love to discuss the contribution of corpus linguistics to research in literary linguistics.
Michaela’s research views language as a social phenomenon and explores the way in which people use language to understand and shape the world we live in.
A large part of Michaela’s research focuses on the language of Dickens’s fiction, literary linguistics, and discourse analysis.
Michaela is Director of the Centre for Corpus Research at the University of Birmingham. CCR supports the use of corpus analysis in research, teaching and learning, with particular focus on the links between psycholinguistics, cognitive linguistics, literary stylistics and statistics.
The University of Birmingham has an established tradition in corpus linguistics, with the development of major corpora since the 1970s, including the 17 million word Birmingham Collection of English Text, developed in the 1980s, and the Bank of English, in the 1990s. Under the direction of John Sinclair, Birmingham hosted the Cobuild project, and developed corpus lexicography in the 1980s.
The CLiC web app, started by Michaela, demonstrates through corpus stylistics how computer-assisted methods can be used to study literary texts and lead to new insights into how readers perceive fictional characters.
Dr Robbie Love 👉 https://bit.ly/3pSAvUx
Professor Michaela Mahlberg 👉 https://bit.ly/3SchNlV
CLiC Web App 👉 https://bit.ly/3QQ9ETp
School of Social Sciences and Humanities 👉 https://bit.ly/3JCRAd1
Aston Centre for Applied Linguistics 👉 https://bit.ly/3xxrJP9
English, Languages and Applied Linguistics 👉 https://bit.ly/3dkYIPY
Find out more about courses related to this show 👉 https://bit.ly/3pR705k
#TeamAston #CorpusCast #linguistics
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