Evidence map›Paper›PMID 33912228›Full record

ArticleChild development perspectives2020

Statistical language learning in infancy.

Jenny R Saffran

Abstract read
In one paragraph

Article in Child development perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Prediction by Young Autistic Children from Visual and Spoken Input.Journal of autism and developmental disorders · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. From behavioral synchrony to language and beyond.Frontiers in integrative neuroscience · 2024
    Review
  9. Article
  10. Speech Segmentation and Cross-Situational Word Learning in Parallel.Open mind : discoveries in cognitive science · 2023
    Article
  11. The emergence of bifurcated structure in children's language.Journal of experimental psychology. General · 2022
    Article
  12. Combining statistics: the role of phonotactics on cross-situational word learning.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2022
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. THE DEVELOPMENT OF COMMUNICATION ACROSS TIMESCALES.Current directions in psychological science · 2021
    Article
  18. Review
  19. Vocal learning as a preadaptation for the evolution of human beat perception and synchronization.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  20. 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

1 author.

Jenny R SaffranUniversity of Wisconsin - Madison.

Funding

Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI POLLAK, SETH D · 2016 to 2020
$6.0M
Statistical Learning in Language AcquisitionR37HD037466 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI SAFFRAN, JENNY R. · 2011 to 2019
$2.8M
STATISTICAL LEARNING IN LANGUAGE ACQUISITIONR01HD037466 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI SAFFRAN, JENNY R. · 2000 to 2010
$2.1M
NICHD NIH HHS R01 HD037466NICHD NIH HHS R37 HD037466NICHD NIH HHS U54 HD090256
6 · The paper itself

Abstract

Research to date suggests that infants exploit statistical regularities in linguistic input to identify and learn a range of linguistic structures, ranging from the sounds of language (e.g., native-language speech sounds, word boundaries in continuous speech) to aspects of grammatical structure (e.g., lexical categories like nouns and verbs, basic aspects of syntax). This article presents a brief review of the infant statistical language learning literature, and raises broader questions concerning why infants are sensitive to statistical regularities. In doing so, we consider the relationship between statistical learning, prediction, and uncertainty reduction in infancy.

Identifiers

PMID33912228
PMCPMC8078161

What OpenQuestion holds

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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.