Literature DB >> 29847014

Phonological regularity, perceptual biases, and the role of phonotactics in speech error analysis.

John Alderete1, Paul Tupper1.   

Abstract

Speech errors involving manipulations of sounds tend to be phonologically regular in the sense that they obey the phonotactic rules of well-formed words. We review the empirical evidence for phonological regularity in prior research, including both categorical assessments of words and regularity at the granular level involving specific segments and contexts. Since the reporting of regularity is affected by human perceptual biases, we also document this regularity in a new data set of 2,228 sublexical errors that was collected using methods that are demonstrably less prone to bias. These facts validate the claim that sound errors are overwhelmingly regular, but the new evidence suggests speech errors admit more phonologically ill-formed words than previously thought. Detailed facts of the phonological structure of errors, including this revised standard, are then related to model assumptions in contemporary theories of phonological encoding. This article is categorized under: Linguistics > Linguistic Theory Linguistics > Computational Models of Language Psychology > Language.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  frequency; markedness; perceptual biases; phonotactics; speech errors

Year:  2018        PMID: 29847014     DOI: 10.1002/wcs.1466

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Cogn Sci        ISSN: 1939-5078


  1 in total

1.  Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks.

Authors:  Gašper Beguš
Journal:  Front Artif Intell       Date:  2020-07-08
  1 in total

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