Evidence map›Paper›PMID 33897523›Full record

ArticleFrontiers in psychology2021

Toddlers' Ability to Leverage Statistical Information to Support Word Learning.

Erica M Ellis, Arielle Borovsky, Jeffrey L Elman, Julia L Evans

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychology, 2021. 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
1.4field-weighted citation impact, top 20% of its field
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, 5 citations in OpenAlex.

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

4 authors at 4 institutions in 1 country.

Erica M EllisDepartment of Communication Disorders, California State University, Los Angeles, Los Angeles, CA, United States.
Arielle BorovskyDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, United States.
Jeffrey L ElmanCenter for Research in Language, University of California, San Diego, La Jolla, CA, United States.
Julia L EvansSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States.
California State University Los Angeles · USPurdue University West Lafayette · USThe University of Texas at Dallas · USUniversity of California, San Diego · US

Funding

Lexico-semantic abilities in early language growth and delayR01DC018593 · NIDCD · PURDUE UNIVERSITY · PI Arielle Borovsky · 2021 to 2026
$5.8M
Cognitive Representation in Specific Language ImpairmentR01DC005650 · NIDCD · UNIVERSITY OF WISCONSIN MADISON · PI EVANS, JULIA L · 2002 to 2010
$2.7M
EXPECTATION GENERATION IN SENTENCE PROCESSINGR01HD053136 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEFFREY L · 2007 to 2011
$1.3M
Online language processing and semantic development in late-talking infantsR03DC013638 · NIDCD · FLORIDA STATE UNIVERSITY · PI BOROVSKY, ARIELLE · 2015 to 2017
$439k
Online measures of word recognition and learning in language-delayed toddlersF32DC010106 · NIDCD · STANFORD UNIVERSITY · PI BOROVSKY, ARIELLE · 2009 to 2011
$151k
Lexical and Cognitive Processing in Early Language DelayF31DC012254 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELLIS, ERICA M · 2012 to 2013
$53k
NICHD NIH HHS R01 HD053136NIDCD NIH HHS F31 DC012254NIDCD NIH HHS F32 DC010106NIDCD NIH HHS R01 DC005650NIDCD NIH HHS R01 DC018593NIDCD NIH HHS R03 DC013638
6 · The paper itself

Abstract

purposeThis study investigated whether the ability to utilize statistical regularities from fluent speech and map potential words to meaning at 18-months predicts vocabulary at 18- and again at 24-months.

methodEighteen-month-olds (

resultsAbility to learn the object-label pairing for words after exposure to the artificial language predicted productive vocabulary at 24-months and amount of vocabulary change from 18- to 24 months, independent of non-verbal cognitive ability, socio-economic status (SES) and/or object-label association performance.

conclusionEighteen-month-olds' ability to use statistical information derived from fluent speech to identify words within the stream of speech and then to map the "words" to meaning directly predicts vocabulary size at 24-months and vocabulary change from 18 to 24 months. The findings support the hypothesis that statistical word segmentation is one of the important aspects of word learning and vocabulary acquisition in toddlers.

Indexed as

individual differenceslanguage developmentstatistical word segmentationvocabularyword learning

Identifiers

PMID33897523
PMCPMC8063043
OpenAlexW3157012734

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.