Comparing Constraints on Contraction Using Bayesian Regression Modeling.

ABSTRACT: This paper has three goals: (1) to document the factors shaping is-contraction in Mainstream American English; (2) to assess the extent to which these factors also shape contraction of has; (3) to use shared patterns of contraction across the two verbs to draw conclusions about how the varying forms are represented grammatically. While is has two distinct phonological forms in variation, has has three. This necessitates regression modeling which can handle non-binary response variables; I use Bayesian Markov chain Monte Carlo modeling. Through this modeling, I (1) uncover a number of novel predictors shaping contraction of is, and (2) demonstrate that many of the patterns shown by is are also in evidence for has. I also (3) argue that modeli

SUBMITTER: MacKenzie L 

PROVIDER: S-EPMC7861313 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature