Regularization or lexical probability-matching? How German speakers generalize plural morphology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Artificial language learning research has shown that, under some conditions, adult speakers tend to probability-match to inconsistent variation in their input, while in others, they regularize by reducing that variation. We demonstrate that this framework can characterize speaker behavior in a naturallanguage morphological inflection task: the lexicon can be used to estimate variation in speaker productions. In the task of German plural inflection, we find that speakers probabilitymatch a lexical distribution conditioned on phonology, and largely disregard an alternative possible strategy of conditional regularization based on grammatical gender.
Original languageEnglish
Title of host publicationProceedings of the 44th Annual Meeting of the Cognitive Science Society
EditorsJennifer Culbertson, Andrew Perfors, Hugh Rabagliati, Veronica Ramenzoni
PublisherCognitive Science Society
Pages635-642
Number of pages8
Volume44
Publication statusPublished - 17 Jun 2022
Event44th Annual Meeting of the Cognitive Science Society - Toronto, Canada
Duration: 27 Jul 202230 Jul 2022
Conference number: 44
https://cognitivesciencesociety.org/cogsci-2022/

Publication series

NameProceedings of the Annual Meeting of the Cognitive Science Society
PublisherCognitive Science Society
Volume44
ISSN (Electronic)1069-7977

Conference

Conference44th Annual Meeting of the Cognitive Science Society
Abbreviated titleCogSci 2022
Country/TerritoryCanada
CityToronto
Period27/07/2230/07/22
Internet address

Keywords / Materials (for Non-textual outputs)

  • Regularization
  • Morphology
  • Natural language

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