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Language Learning and Control in Monolinguals and Bilinguals

Overview of attention for article published in Cognitive Science, March 2012
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Title
Language Learning and Control in Monolinguals and Bilinguals
Published in
Cognitive Science, March 2012
DOI 10.1111/j.1551-6709.2012.01243.x
Pubmed ID
Authors

James Bartolotti, Viorica Marian

Abstract

Parallel language activation in bilinguals leads to competition between languages. Experience managing this interference may aid novel language learning by improving the ability to suppress competition from known languages. To investigate the effect of bilingualism on the ability to control native-language interference, monolinguals and bilinguals were taught an artificial language designed to elicit between-language competition. Partial activation of interlingual competitors was assessed with eye-tracking and mouse-tracking during a word recognition task in the novel language. Eye-tracking results showed that monolinguals looked at competitors more than bilinguals, and for a longer duration of time. Mouse-tracking results showed that monolinguals' mouse movements were attracted to native-language competitors, whereas bilinguals overcame competitor interference by increasing the activation of target items. Results suggest that bilinguals manage cross-linguistic interference more effectively than monolinguals. We conclude that language interference can affect lexical retrieval, but bilingualism may reduce this interference by facilitating access to a newly learned language.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 1 <1%
Netherlands 1 <1%
Colombia 1 <1%
Australia 1 <1%
Italy 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 209 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 23%
Student > Master 37 17%
Researcher 22 10%
Student > Bachelor 18 8%
Professor 13 6%
Other 48 22%
Unknown 31 14%
Readers by discipline Count As %
Psychology 75 34%
Linguistics 57 26%
Social Sciences 17 8%
Neuroscience 11 5%
Arts and Humanities 5 2%
Other 17 8%
Unknown 38 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 October 2015.
All research outputs
#16,046,765
of 25,373,627 outputs
Outputs from Cognitive Science
#1,068
of 1,567 outputs
Outputs of similar age
#104,632
of 172,466 outputs
Outputs of similar age from Cognitive Science
#8
of 9 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 172,466 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.