publication . Article . 2016

When variables align: A Bayesian multinomial mixed-effects model of English permissive constructions

Natalia Levshina;
Open Access
  • Published: 01 May 2016 Journal: Cognitive Linguistics, volume 27, pages 235-268 (issn: 0936-5907, eissn: 1613-3641, Copyright policy)
  • Publisher: Walter de Gruyter GmbH
<jats:title>Abstract</jats:title><jats:p>This paper is a quantitative multifactorial study of the near-synonymous constructions<jats:italic>let</jats:italic>+V,<jats:italic>allow</jats:italic>+<jats:italic>to</jats:italic>V and<jats:italic>permit</jats:italic>+<jats:italic>to</jats:italic>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,...
Persistent Identifiers
free text keywords: Linguistics and Language, Developmental and Educational Psychology, Language and Linguistics, Multinomial distribution, Econometrics, Bayesian probability, Computer science, Mixed model, Bayesian statistics, Permissive, Communication, business.industry, business, Iconicity
Related Organizations
Funded by
EC| FormGram
Form-frequency correspondences in grammar
  • Funder: European Commission (EC)
  • Project Code: 670985
  • Funding stream: H2020 | ERC | ERC-ADG
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