Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Linguistic Data Science and the English Passive: Modeling Diachronic Developments and Regional Variation

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

Bohmann, Axel
Müller, Julia
Honkanen, Mirka

Hardcover

Series: Language, Data Science and Digital Humanities

LinguisticsGeneral Computers

ISBN10: 1350386545
ISBN13: 9781350386549
Publisher: Bloomsbury Academic
Published: Dec 11 2025
Pages: 280
Weight: 1.25
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English

The choice between BE and GET as auxiliary verbs, as in She was promoted vs She got promoted, is a central, grammatical feature, yet the many proposed nuances conditioning this phenomenon have escaped large-scale empirical validation to date. This book fills this gap, using multivariate statistical analyses of several large corpora to explore different factors determining the choice of English passive auxiliary.

Addressing both diachronic developments (using the Corpus of Historical American English) and synchronic regional variation (using the Corpus of Global Web-based English), the book employs methods that combine traditional corpus linguistics with newer machine-learning tools in an innovative and intricate manner. To circumscribe the variable context, the authors train a statistical model to distinguish central from peripheral passives. The study tests the influence of various predictors, derived from the previous literature on the passive, with the use of automated sentiment analysis and subject detection, manual animacy coding, distributional semantics, and a mixed-effects regression model.

Putting forward an automatic way of distinguishing more stative from more dynamic passives, the book demonstrates how to examine the passive construction in a much larger dataset than in previous studies, and shows how advanced computational models can be used to productively engage traditional philological questions, such as those related to language change and regional variation.

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