Evidence map›Paper›PMID 31405393›Full record

ArticleJournal of child language2019

Dónde está la ball? Examining the effect of code switching on bilingual children's word recognition.

Giovanna Morini, Rochelle S Newman

Abstract read
In one paragraph

Article in Journal of child language, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Patterns of Mother, Father, and Child Code-Switching and Links With Child Language Development.Journal of speech, language, and hearing research : JSLHR · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Mixed-Language Input and Infant Volubility: Friend or Foe?Bilingualism (Cambridge, England) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Fine-tuning language discrimination: Bilingual and monolingual infants' detection of language switching.Infancy : the official journal of the International Society on Infant Studies · 2021
    Article
  13. A comparison of monolingual and bilingual toddlers' word recognition in noise.The international journal of bilingualism : cross-disciplinary, cross-linguistic studies of language behavior · 2021
    Article
  14. 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

2 authors.

Giovanna MoriniUniversity of Delaware, USA.
Rochelle S NewmanUniversity of Maryland, USA.

Funding

COMPARATIVE AND EVOLUTIONARY BIOLOGY OF HEARINGT32DC000046 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI Catherine Emily Carr, Matthew J. Goupell · 1994 to 2026
$7.5M
NIDCD NIH HHS T32 DC000046
6 · The paper itself

Abstract

Hearing words in sentences facilitates word recognition in monolingual children. Many children grow up receiving input in multiple languages - including exposure to sentences that 'mix' the languages. We explored Spanish-English bilingual toddlers' (n = 24) ability to identify familiar words in three conditions: (i) single word (ball!); (ii) same-language sentence (Where's the ball?); or (iii) mixed-language sentence (Dónde está la ball?). Children successfully identified words across conditions; however, the advantage linked to hearing words in sentences was present only in the same-language condition. This work hence suggests that language mixing plays an important role on bilingual children's ability to recognize spoken words.

Indexed as

Language DevelopmentMultilingualismRecognition, PsychologyChild, PreschoolFemaleHumansInfantLanguageMaleSpeech Perceptionbilingualismcode switchingsentence processingword recognition

Identifiers

PMID31405393
PMCPMC7592264

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.