Evidence map›Paper›PMID 32699456›Full record

ArticleJournal of phonetics2020

Factors modulating cross-linguistic co-activation in bilinguals.

Margarethe McDonald, Margarita Kaushanskaya

Abstract read
In one paragraph

Article in Journal of phonetics, 2020. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Margarethe McDonaldUniversity of Wisconsin - Madison, Madison, WI, USA.
Margarita KaushanskayaUniversity of Wisconsin - Madison, Madison, WI, USA.

Funding

WISCONSIN CENTER ON MENTAL RETARDATION: CORE SUPPORTP30HD003352 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI SVAREN, JOHN P · 1985 to 2015
$25.2M
Interdisciplinary Training in Speech-Language DisordersT32DC005359 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI ELLIS-WEISMER, SUSAN · 2002 to 2019
$3.7M
Executive Function in Children with Typical and Atypical Language AbilitiesR01DC011750 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI ELLIS-WEISMER, SUSAN, KAUSHANSKAYA, MARGARITA · 2012 to 2016
$2.7M
NICHD NIH HHS P30 HD003352NIDCD NIH HHS R01 DC011750NIDCD NIH HHS T32 DC005359
6 · The paper itself

Abstract

Activation of both of a bilingual's languages during auditory word recognition has been widely documented. Here, we argue that if parallel activation in bilinguals is the result of a bottom-up process where phonetic features that overlap across two languages activate both linguistic systems, then the robustness of such parallel activation is in fact surprising. This is because phonemes across two different languages are rarely perfectly matched to each other in phonetic features. For instance, across Spanish and English, a "voiced" stop is realized in phonetically-distinct ways, and therefore, words that begin with voiced stops in English do not in fact fully overlap in phonetic features with words in Spanish. In two eye-tracking experiments using a visual world paradigm, we examined the effect of a phonemic match (English /b/ matched to Spanish /b/) vs. a phonetic match (English /b/ matched to Spanish /p/) on cross-linguistic co-activation (English words co-activating Spanish) in Spanish L1 and in Spanish L2 speakers. We found that while phonemic matching induced co-activation in both Spanish L1 and Spanish L2 speakers, phonetic matching did not. Together, these results indicate that co-activation of two languages in bilinguals may proceed through activation of categorical phonemic information rather than through activation of phonetic features.

Indexed as

bilingualco-activationcross-linguisticeye-trackingVOTword recognition

Identifiers

PMID32699456
PMCPMC7375413

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.