Evidence map›Paper›PMID 42850383›Full record

ArticlePsychonomic bulletin & review2026

Leveraging word knowledge from everyday language.

Layla Unger, Emma James

Abstract read
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Article in Psychonomic bulletin & review, 2026. 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

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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.

Layla UngerDepartment of Psychological and Brain Sciences, University of Louisville, 2301 S 3rd St, Louisville, KY, 40292, USA. layla.unger@louisville.edu.ORCID http://orcid.org/0000-0002-8888-1265
Emma JamesDepartment of Psychology, University of York, York, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the first few years of life, children go from nonverbal infants to fluent users of hundreds of words. This feat unfolds as children are immersed in a sea of words in conversations, stories, and other language contexts. In principle, word contexts might support word learning because words with similar meanings tend to occur in similar contexts. Thus, a child who knows some fruit words and has heard them in the context of "juicy" might learn that a "juicy mango" is also a fruit even without ever seeing a mango. Indeed, cutting-edge large language models leverage just these context cues to form rich representations of words. Yet we do not know whether these cues are an important driver of real-world word learning. We quantified context cues in children's everyday English language input and found that they did reliably predict real-world word learning, above and beyond other established predictors. These findings illuminate how everyday language scaffolds word learning.

Indexed as

LanguageLanguage DevelopmentVerbal LearningVocabularyChild, PreschoolCuesHumansInfantLarge Language ModelsAge of acquisitionDistributional semanticsIncidental learningLanguage acquisitionLanguage modelsRecurrent neural networksWord learning

Identifiers

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Registered trials

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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.