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English-learning infants’ segmentation of trisyllabic words from fluent speech

Authors: Derek Houston; Lynn Santelmann; Peter Jusczyk;

English-learning infants’ segmentation of trisyllabic words from fluent speech

Abstract

Recent investigations with English-learning infants have shown that the rhythmic properties of English influence how infants segment fluent speech. In particular, 7.5-month-old infants have been shown to extract bisyllabic words that conform to the predominant strong/weak stress pattern of English but not weak/strong words. The present series of studies examined whether English-learning 7.5-month-olds’ segmentation abilities are limited to extracting strong/weak bisyllables or whether they are able to segment longer strings, such as trisyllables (strong/weak/strong). The results indicated that infants can segment trisyllabic words from fluent speech but only when the first syllable receives primary stress (e.g., cantaloupe). When primary stress falls on the last syllable (e.g., cavalier), infants segment only the final stressed syllables. Overall, the findings suggest that 7.5-month-old English-learning infants are able to segment longer strings, and that they use stress as a major cue in segmentation. En...

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
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