Phonological (un)certainty weights lexical activation

Laura Gwilliams, David Poeppel, Alec Marantz, Tal Linzen

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

Abstract

Spoken word recognition involves at least two basic computations. First is matching acoustic input to phonological categories (e.g. /b/, /p/, /d/). Second is activating words consistent with those phonological categories. Here we test the hypothesis that the listener’s probability distribution over lexical items is weighted by the outcome of both computations: uncertainty about phonological discretisation and the frequency of the selected word(s). To test this, we record neural responses in auditory cortex using magnetoencephalography, and model this activity as a function of the size and relative activation of lexical candidates. Our findings indicate that towards the beginning of a word, the processing system indeed weights lexical candidates by both phonological certainty and lexical frequency; however, later into the word, activation is weighted by frequency alone.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2018
EditorsAsad Sayeed, Cassandra Jacobs, Tal Linzen, Marten van Schijndel
PublisherAssociation for Computational Linguistics (ACL)
Pages29-34
Number of pages6
ISBN (Electronic)9781948087100
StatePublished - 2018
Event8th Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2018 - Salt Lake City, United States
Duration: Jan 7 2018 → …

Publication series

NameProceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2018

Conference

Conference8th Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2018
Country/TerritoryUnited States
CitySalt Lake City
Period1/7/18 → …

ASJC Scopus subject areas

  • Modeling and Simulation
  • Linguistics and Language
  • Language and Linguistics

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