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When variables align: A Bayesian multinomial mixed-effects model of English permissive constructionsLevshina, Natalia 13 November 2024 (has links)
This paper is a quantitative multifactorial study of the near-synonymous
constructions let+V, allow+ to V and permit + to V based on the British National
Corpus. The study investigates the differences between these constructions with the
help of 23 formal, semantic, social and collostructional variables. A Bayesian multinomial
mixed-effects model reveals a remarkable alignment of the variables
that represent different dimensions of variation, namely, the linguistic distance
between the predicates, the conceptual distance between the events they represent,
the distance between the speaker and the Permitter and Permittee on the animacy/
entrenchment/empathy hierarchy, the social and communicative distance between
the interlocutors, as well as the strength of collostructional attraction between the
constructions and second verb slot fillers. The paper offers several possible explanations
for this alignment from a cognitive, functional and historical perspective.
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