Evidence map›Paper›PMID 35858259›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2022

Identifying Language Disorder in Bilingual Children Using Automatic Speech Recognition.

Nahar Albudoor, Elizabeth D Peña

Open access · greenAbstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

2 authors at 1 institution in 1 country.

Nahar AlbudoorGallaudet University, Washington, DC.ORCID 0000-0002-7224-4149
Elizabeth D PeñaUniversity of California, Irvine.ORCID 0000-0002-6119-7658
Google (United States) · US

Funding

Cross-Language Outcomes of Bilingual Experience in Typical and Atypical DevelopmeR01DC010366 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI PEÑA, ELIZABETH D · 2010 to 2014
$3.2M
NIDCD NIH HHS R01 DC010366
6 · The paper itself

Abstract

purposeThe differential diagnosis of developmental language disorder (DLD) in bilingual children represents a unique challenge due to their distributed language exposure and knowledge. The current evidence indicates that dual-language testing yields the most accurate classification of DLD among bilinguals, but there are limited personnel and resources to support this practice. The purpose of this study was therefore to determine the feasibility of dual-language automatic speech recognition (ASR) for identifying DLD in bilingual children.

methodEighty-four Spanish-English bilingual second graders with (

resultsResults demonstrated moderate overall item-by-item scoring agreement (

conclusionThis study provides preliminary support for the technical feasibility of ASR as a bilingual expressive language assessment tool. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.20249994.

Indexed as

Language Development DisordersMultilingualismSpeech PerceptionChildChild LanguageHumansLanguage Tests

Identifiers

PMID35858259
PMCPMC9584134
OpenAlexW4285089368

What OpenQuestion holds

Textmetadata
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.