Evidence map›Paper›PMID 38014391›Full record

ArticleCognitive linguistics2023

Updating constructions: additive effects of prior and current experience during sentence production.

Malathi Thothathiri, Natalia Levshina

Abstract read
In one paragraph

Article in Cognitive linguistics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Malathi ThothathiriDepartment of Speech, Language and Hearing Sciences, The George Washington University, Washington, USA.
Natalia LevshinaMax Planck Institute for Psycholinguistics, Nijmegen, Netherlands.

Funding

Cognitive control and sentence processing in aphasiaR01DC017138 · NIDCD · GEORGE WASHINGTON UNIVERSITY · PI THOTHATHIRI, MALATHI · 2018 to 2022
$1.7M
NIDCD NIH HHS R01 DC017138
6 · The paper itself

Abstract

While much earlier work has indicated that prior verb bias from lifelong language experience influences language processing, recent findings highlight the fact that verb biases induced during lab-based exposure sessions also influence processing. We investigated the nature of updating, i.e., how prior and current experience might interact in guiding subsequent sentence production. Participants underwent a short training session where we manipulated the bias of known English dative verbs. The prior bias of each verb for the double-object (DO) versus the prepositional-object (PO) dative was estimated using a corpus. Current verb bias was counterbalanced and controlled experimentally. Bayesian mixed-effects logistic models of participants' responses (DO or PO) during subsequent free-choice production showed that both the prior and current verb biases affected speakers' construction choice. These effects were additive and not interactive, contrary to the prediction from error-based learning models. Semantic similarity to other verbs and their experimentally manipulated biases influenced sentence production, consistent with item-based analogy and exemplar theory. These results shed light on the potential mechanisms underlying language updating and the adaptation of sentence production to ongoing experience.

Indexed as

Bayesian regressiondative constructionserror-based learningexemplar theoryverb bias

Identifiers

PMID38014391
PMCPMC10630066

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.