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Linguistic Data Science and the English Passive: Modeling Diachronic Developments and Regional Variation

Contributor(s): Bohmann, Axel (Author), Laitinen, Mikko (Editor), Müller, Julia (Author), Schweinberger, Martin (Editor), Honkanen, Mirka (Author), Neuhausen, Miriam (Author)

ISBN: 9781350386549

Publisher: Bloomsbury Academic

Hardcover
$130.00
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Pub Date: December 11, 2025

LCCN: 2025021369

Lexile Code: 0000

Features: Bibliography, Dust Cover, Index

Target Age Group: NA to NA

Physical Info: 0.69" H x 9.21" L x 6.14" W ( 1.25 lbs) 280 pages

Series: Language, Data Science and Digital Humanities

Descriptions, Reviews, etc.

Description: 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.

Brief description: 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.

Review Quotes: "A groundbreaking study that greatly advances our understanding of the BE vs. GET passive alternation, featuring lucid writing, management of massive datasets, and masterful application of computational techniques for distinguishing between verbal and adjectival passives and quantifying constraints at unprecedented scale. Truly pioneering work for computational sociolinguistics." --Dr Richard Zimmermann, Lecturer in English Language and Linguistics, University of Manchester, UK

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