Evidence map›Paper›PMID 38773754›Full record

ArticleCognitive science2024

Do They Know It's Christmash? Lexical Knowledge Directly Impacts Speech Perception.

Sahil Luthra, Anne Marie Crinnion, David Saltzman, James S Magnuson

Abstract readLetter
In one paragraph

Article in Cognitive science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Simple Recurrent Networks are Interactive.Psychonomic bulletin & review · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sahil LuthraDepartment of Psychology, Carnegie Mellon University.ORCID 0000-0002-3517-2609
Anne Marie CrinnionDepartment of Psychological Sciences, University of Connecticut.
David SaltzmanDepartment of Psychological Sciences, University of Connecticut.
James S MagnusonDepartment of Psychological Sciences, University of Connecticut.

Funding

Training in the Cognitive Neuroscience of CommunicationT32DC017703 · NIDCD · UNIVERSITY OF CONNECTICUT STORRS · PI Inge-Marie Eigsti, Emily B Myers · 2019 to 2026
$2.3M
Mechanisms of auditory selective attention for speech and non-speech stimuliF32DC020625 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI LUTHRA, SAHIL · 2022 to 2025
$197k
Understanding Individual Differences in Acoustic-Phonetic and Contextual Cue Use In AgingF31DC021372 · NIDCD · UNIVERSITY OF CONNECTICUT STORRS · PI CRINNION, ANNE MARIE · 2023 to 2024
$95k
Investigating the mechanisms of poor accent adaptation in healthy older adultsF31DC019873 · NIDCD · UNIVERSITY OF CONNECTICUT STORRS · PI SALTZMAN, DAVID · 2021 to 2022
$93k
Basque Government BERC 2022-2025National Science Foundation BCS-PAC2043903NIDCD NIH HHS F31 DC019873NIDCD NIH HHS F31 DC021372NIDCD NIH HHS F32 DC020625NIDCD NIH HHS T32 DC017703Spanish State Research Agency CEX2020-001010-SSpanish State Research Agency PID2020-119131GB-I00
6 · The paper itself

Abstract

We recently reported strong, replicable (i.e., replicated) evidence for lexically mediated compensation for coarticulation (LCfC; Luthra et al., 2021), whereby lexical knowledge influences a prelexical process. Critically, evidence for LCfC provides robust support for interactive models of cognition that include top-down feedback and is inconsistent with autonomous models that allow only feedforward processing. McQueen, Jesse, and Mitterer (2023) offer five counter-arguments against our interpretation; we respond to each of those arguments here and conclude that top-down feedback provides the most parsimonious explanation of extant data.

Indexed as

Speech PerceptionCognitionHumansLanguageComputational modelFeedbackLanguageSpeech perceptionTop‐down effects

Identifiers

PMID38773754
PMCPMC11228965

What OpenQuestion holds

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Registered trials

None linked

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.