Evidence map›Paper›PMID 33013240›Full record

ArticleLanguage learning and development : the official journal of the Society for Language Development2020

Linguistic context in verb learning: Less is sometimes more.

Angela Xiaoxue He, Maxwell Kon, Sudha Arunachalam

Open access · greenAbstract read
In one paragraph

Article in Language learning and development : the official journal of the Society for Language Development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Learning verbs in English and Korean: The roles of word order and argument drop.Language learning and development : the official journal of the Society for Language Development · 2024
    Article
  4. Article
  5. Article
  6. Difference or delay? Syntax, semantics, and verb vocabulary development in typically developing and late-talking toddlers.Language learning and development : the official journal of the Society for Language Development · 2022
    Article
  7. Repetition Versus Variability in Verb Learning: Sometimes Less Is More.Journal of speech, language, and hearing research : JSLHR · 2021
    Article
  8. Lexical processing of nouns and verbs at 36 months of age predicts concurrent and later vocabulary and school readiness.Journal of cognition and development : official journal of the Cognitive Development Society · 2020
    Article
  9. Optimal Contexts for Verb Learning.Perspectives of the ASHA special interest groups · 2019
    Article
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

3 authors at 3 institutions in 1 country.

Angela Xiaoxue HeUniversity of Southern California.
Maxwell KonBoston University.
Sudha ArunachalamNew York University.
Boston University · USNew York University · USUniversity of Southern California · US

Funding

Language Processing and Word Learning in Preschoolers with Autism Spectrum DisorderR01DC016592 · NIDCD · NEW YORK UNIVERSITY · PI ARUNACHALAM, SUDHA · 2018 to 2022
$2.0M
Mechanisms underlying word learning in children with ASD: Non-social learning andK01DC013306 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI ARUNACHALAM, SUDHA · 2014 to 2017
$688k
NIDCD NIH HHS K01 DC013306NIDCD NIH HHS R01 DC016592
6 · The paper itself

Abstract

Linguistic contexts provide useful information about verb meanings by narrowing the space of candidate concepts. Intuitively, the more information, the better. For example, "the tall girl is

Identifiers

PMID33013240
PMCPMC7531761
OpenAlexW2981929766

What OpenQuestion holds

Textmetadata
LicenceTDM
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.