Evidence map›Paper›PMID 42731477›Full record

ArticleCognition2027

Temporal separation of meanings facilitates homophone learning.

Erin Conwell, Towa Machida

Abstract read
In one paragraph

Article in Cognition, 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Erin ConwellDepartment of Psychology, North Dakota State University, United States of America. Electronic address: erin.conwell@ndsu.edu.
Towa MachidaDepartment of Psychology, North Dakota State University, United States of America.

Funding

Computational Analysis of Child Language Transcript DataR01HD082736 · NICHD · CARNEGIE-MELLON UNIVERSITY · PI MACWHINNEY, BRIAN · 2014 to 2024
$5.0M
Context and multiple meanings: Homophone learning in early childhoodR15HD115135 · NICHD · NORTH DAKOTA STATE UNIVERSITY · PI CONWELL, ERIN · 2024 to 2024
$435k
NICHD NIH HHS R01 HD082736NICHD NIH HHS R15 HD115135
6 · The paper itself

Abstract

Theories of word learning often assume that learners adhere to a one-to-one form-to-meaning mapping hypothesis, reducing the number of possible meanings for newly encountered words and permitting learners to assume that known words correspond to their known referents. However, all languages contain homophones, which violate this assumption, raising the question of how children acquire such words. This article presents two studies evaluating whether the timing of homophone meanings relative to one another might play a role in their acquisition. Study 1 examined homophone uses in speech directed to 13 English-learning children from the CHILDES database and determined that multiple meanings of the same word only very rarely occur within a single discourse. When they do, uses with the same meaning are closer together in time than uses with different meanings, indicating the availability of meaning timing as a cue to homophony. Study 2 used the cross-situational word learning paradigm to manipulate the meaning timing of novel homophones. English-learning preschoolers (N = 94) were more likely to learn both meanings of a novel homophone when those meanings were separated in time, as compared to when the meanings were heard in an interleaved fashion. Taken together, these studies demonstrate that segregation of homophone meanings across time may support children's ability to map multiple meanings to a single word.

Indexed as

Language DevelopmentLearningPhoneticsVerbal LearningChild, PreschoolFemaleHumansMaleTime FactorsCross-situational learningHomophonesLanguage developmentWord learning

Identifiers

PMID42731477
PMCPMC13623196

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.