Evidence map›Paper›PMID 26440529›Full record

ArticleJournal of psycholinguistic research2016

Quantifying Semantic Linguistic Maturity in Children.

Kristina Hansson, Rasmus Bååth, Simone Löhndorf, Birgitta Sahlén, Sverker Sikström

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Article in Journal of psycholinguistic research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Kristina HanssonDepartment of Clinical Sciences, Lund, Logopedics, Phoniatrics and Audiology, Lund University, Lund, Sweden. kristina.hansson@med.lu.se.
Rasmus BååthLund University Cognitive Science, Lund University, Lund, Sweden.
Simone LöhndorfDepartment of Linguistics, Centre for Languages and Literature, Lund University, Lund, Sweden.
Birgitta SahlénDepartment of Clinical Sciences, Lund, Logopedics, Phoniatrics and Audiology, Lund University, Lund, Sweden.
Sverker SikströmDepartment of Psychology, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a method to quantify semantic linguistic maturity (SELMA) based on a high dimensional semantic representation of words created from the co-occurrence of words in a large text corpus. The method was applied to oral narratives from 108 children aged 4;0-12;10. By comparing the SELMA measure with maturity ratings made by human raters we found that SELMA predicted the rating of semantic maturity made by human raters over and above the prediction made using a child's age and number of words produced. We conclude that the semantic content of narratives changes in a predictable pattern with children's age and argue that SELMA is a measure quantifying semantic linguistic maturity. The study opens up the possibility of using quantitative measures for studying the development of semantic representation in children's narratives, and emphasizes the importance of word co-occurrences for understanding the development of meaning.

Indexed as

Language DevelopmentLanguage TestsNarrationSemanticsChildChild, PreschoolFemaleHumansMalePsycholinguisticsChild languageNarrativesSemantic developmentSemantic linguistic maturitySemantic representation

Identifiers

PMID26440529

What OpenQuestion holds

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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.