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Bilingual children weigh speaker’s referential cues and word-learning heuristics differently in different language contexts when interpreting a speaker’s intent

Overview of attention for article published in Frontiers in Psychology, June 2015
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Title
Bilingual children weigh speaker’s referential cues and word-learning heuristics differently in different language contexts when interpreting a speaker’s intent
Published in
Frontiers in Psychology, June 2015
DOI 10.3389/fpsyg.2015.00796
Pubmed ID
Authors

Wan-Yu Hung, Ferninda Patrycia, W. Q. Yow

Abstract

Past research has investigated how children use different sources of information such as social cues and word-learning heuristics to infer referential intents. The present research explored how children weigh and use some of these cues to make referential inferences. Specifically, we examined how switching between languages known (familiar) or unknown (unfamiliar) to a child would influence his or her choice of cue to interpret a novel label in a challenging disambiguation task, where a pointing cue was pitted against the mutual exclusivity (ME) principle. Forty-eight 3-and 4-years-old English-Mandarin bilingual children listened to a story told either in English only (No-Switch), English and Mandarin (Familiar-Switch), English and Japanese (Unfamiliar-Switch), or English and English-sounding nonsense sentences (Nonsense-Switch). They were then asked to select an object (from a pair of familiar and novel objects) after hearing a novel label paired with the speaker's point at the familiar object, e.g., "Can you give me the blicket?" Results showed that children in the Familiar-Switch condition were more willing to relax ME to follow the speaker's point to pick the familiar object than those in the Unfamiliar-Switch condition, who were more likely to pick the novel object. No significant differences were found between the other conditions. Further analyses revealed that children in the Unfamiliar-Switch condition looked at the speaker longer than children in the other conditions when the switch happened. Our findings suggest that children weigh speakers' referential cues and word-learning heuristics differently in different language contexts while taking into account their communicative history with the speaker. There are important implications for general education and other learning efforts, such as designing learning games so that the history of credibility with the user is maintained and how learning may be best scaffolded in a helpful and trusting environment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Student > Bachelor 6 14%
Student > Master 6 14%
Student > Doctoral Student 5 12%
Researcher 4 10%
Other 7 17%
Unknown 7 17%
Readers by discipline Count As %
Psychology 15 36%
Linguistics 7 17%
Computer Science 4 10%
Neuroscience 2 5%
Unspecified 1 2%
Other 4 10%
Unknown 9 21%
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 27 May 2015.
All research outputs
#14,685,107
of 22,807,037 outputs
Outputs from Frontiers in Psychology
#15,874
of 29,719 outputs
Outputs of similar age
#145,543
of 266,655 outputs
Outputs of similar age from Frontiers in Psychology
#356
of 526 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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