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Discovering Words in Fluent Speech: The Contribution of Two Kinds of Statistical Information

Overview of attention for article published in Frontiers in Psychology, January 2013
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Title
Discovering Words in Fluent Speech: The Contribution of Two Kinds of Statistical Information
Published in
Frontiers in Psychology, January 2013
DOI 10.3389/fpsyg.2012.00590
Pubmed ID
Authors

Erik D. Thiessen, Lucy C. Erickson

Abstract

To efficiently segment fluent speech, infants must discover the predominant phonological form of words in the native language. In English, for example, content words typically begin with a stressed syllable. To discover this regularity, infants need to identify a set of words. We propose that statistical learning plays two roles in this process. First, it provides a cue that allows infants to segment words from fluent speech, even without language-specific phonological knowledge. Second, once infants have identified a set of lexical forms, they can learn from the distribution of acoustic features across those word forms. The current experiments demonstrate both processes are available to 5-month-old infants. This demonstration of sensitivity to statistical structure in speech, weighted more heavily than phonological cues to segmentation at an early age, is consistent with theoretical accounts that claim statistical learning plays a role in helping infants to adapt to the structure of their native language from very early in life.

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The data shown below were collected from the profiles of 2 X users 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 2 3%
Netherlands 1 1%
Portugal 1 1%
Unknown 63 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 27%
Researcher 12 18%
Student > Master 11 16%
Student > Bachelor 7 10%
Professor 4 6%
Other 11 16%
Unknown 4 6%
Readers by discipline Count As %
Psychology 30 45%
Linguistics 10 15%
Neuroscience 8 12%
Agricultural and Biological Sciences 2 3%
Arts and Humanities 2 3%
Other 6 9%
Unknown 9 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 January 2013.
All research outputs
#17,676,164
of 22,693,205 outputs
Outputs from Frontiers in Psychology
#20,185
of 29,432 outputs
Outputs of similar age
#210,109
of 280,672 outputs
Outputs of similar age from Frontiers in Psychology
#757
of 969 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,432 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 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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We're also able to compare this research output to 969 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.