Evidence map›Paper›PMID 34489784›Full record

ArticleFrontiers in psychology2021

The Acquisition of Noun and Verb Categories by Bootstrapping From a Few Known Words: A Computational Model.

Perrine Brusini, Olga Seminck, Pascal Amsili, Anne Christophe

Abstract read
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Rapid infant learning of syntactic-semantic links.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. 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

4 authors.

Perrine BrusiniDepartment of Psychological Sciences, University of Liverpool, Liverpool, United Kingdom.
Olga SeminckLaboratoire Langues, Textes, Traitements Informatiques, Cognition (Lattice), Centre National de la Recherche Scientifique, École Normale Supérieure/PSL University, Université Sorbonne Nouvelle, Paris, France.
Pascal AmsiliLaboratoire Langues, Textes, Traitements Informatiques, Cognition (Lattice), Centre National de la Recherche Scientifique, École Normale Supérieure/PSL University, Université Sorbonne Nouvelle, Paris, France.
Anne ChristopheLaboratoire de Sciences Cognitives et Psycholinguistique, Centre National de la Recherche Scientifique, École Normale Supérieure/PSL University, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While many studies have shown that toddlers are able to detect syntactic regularities in speech, the learning mechanism allowing them to do this is still largely unclear. In this article, we use computational modeling to assess the plausibility of a context-based learning mechanism for the acquisition of nouns and verbs. We hypothesize that infants can assign basic semantic features, such as "is-an-object" and/or "is-an-action," to the very first words they learn, then use these words, the

Indexed as

acquisition of syntaxcomputational modelingFrenchlanguage developmentnounsemantic seedverb

Identifiers

PMID34489784
PMCPMC8416756

What OpenQuestion holds

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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.