Literature DB >> 29388256

A Self-Organizing Approach to Subject-Verb Number Agreement.

Garrett Smith1, Julie Franck2, Whitney Tabor3.   

Abstract

We present a self-organizing approach to sentence processing that sheds new light on notional plurality effects in agreement attraction, using pseudopartitive subject noun phrases (e.g., a bottle of pills). We first show that notional plurality ratings (numerosity judgments for subject noun phrases) predict verb agreement choices in pseudopartitives, in line with the "Marking" component of the Marking and Morphing theory of agreement processing. However, no account to date has derived notional plurality values from independently needed principles of language processing. We argue on the basis of new experimental evidence and a dynamical systems model that the theoretical black box of notional plurality can be unpacked into objectively measurable semantic features. With these semantic features driving structure formation (and hence agreement choice), our model reproduces the human verb production patterns as a byproduct of normal processing. Finally, we discuss how the self-organizing approach might be extended to other agreement attraction phenomena.
Copyright © 2018 Cognitive Science Society, Inc.

Entities:  

Keywords:  Agreement attraction; Dynamical systems modeling; Marking and Morphing; Notional plurality; Sentence processing

Mesh:

Year:  2018        PMID: 29388256     DOI: 10.1111/cogs.12591

Source DB:  PubMed          Journal:  Cogn Sci        ISSN: 0364-0213


  3 in total

1.  Hierarchical structure and memory mechanisms in agreement attraction.

Authors:  Julie Franck; Matthew Wagers
Journal:  PLoS One       Date:  2020-05-19       Impact factor: 3.240

Review 2.  Good-enough language production.

Authors:  Adele E Goldberg; Fernanda Ferreira
Journal:  Trends Cogn Sci       Date:  2022-03-01       Impact factor: 24.482

3.  The Reading Signatures of Agreement Attraction.

Authors:  Sol Lago; Carlos Acuña Fariña; Enrique Meseguer
Journal:  Open Mind (Camb)       Date:  2021-11-01
  3 in total

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