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Employs a combination of machine-learning tools to study the choice of English passive auxiliary, BE vs GET, in several large corpora, both diachronically and across varieties.
Informazioni sugli autori:
Axel Bohmann is Professor of English Linguistics at the University of Cologne, Germany. His work combines corpus linguistics, variationist sociolinguistics, and discourse analysis, often in the context of English in global settings. He holds a PhD in English from the University of Texas at Austin and has published his research in journals such as English Worldwide, the Journal of Sociolinguistics, and Language.
Julia Müller is a postdoctoral researcher at the English Department of the University of Freiburg, Germany. She studies second-language processing using experimental methods and is also passionate about accessible programming, statistics, and data science education.
Mirka Honkanen worked as a postdoctoral researcher at the University of Freiburg, Germany, and now pursues a career in science management and administration.
Miriam Neuhausen is Assistant Professor of English Linguistics at Heidelberg University, Germany. Her work explores language, identity, and group membership through a sociophonetic lens. She is also interested in lesser-studied varieties/communities and the link between language and social injustice.
Titolo: Linguistic Data Science and the English ...
Casa editrice: Bloomsbury Publishing (UK)
Data di pubblicazione: 2025
Legatura: HRD
Condizione: New