2014
DOI: 10.1017/s0305000914000452
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Finding words and word structure in artificial speech: the development of infants' sensitivity to morphosyntactic regularities

Abstract: To achieve language proficiency, infants must find the building blocks of speech and master the rules governing their legal combinations. However, these problems are linked: words are also built according to rules. Here, we explored early morphosyntactic sensitivity by testing when and how infants could find either words or within-word structure in artificial speech snippets embodying properties of morphological constructions. We show that 12-month-olds use statistical relationships between syllables to extrac… Show more

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Cited by 30 publications
(36 citation statements)
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“…They were not (F(1, 30) = 2.1, P = 0.17). Importantly, studies in our laboratory showed that 12-month-olds familiarized with continuous streams similar to the one used in the current experiments can successfully discriminate words from non-words (Marchetto & Bonatti, 2013). That is, they can extract grouping information from such continuous streams.…”
Section: Resultsmentioning
confidence: 64%
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“…They were not (F(1, 30) = 2.1, P = 0.17). Importantly, studies in our laboratory showed that 12-month-olds familiarized with continuous streams similar to the one used in the current experiments can successfully discriminate words from non-words (Marchetto & Bonatti, 2013). That is, they can extract grouping information from such continuous streams.…”
Section: Resultsmentioning
confidence: 64%
“…They tested 12-month-olds by creating one segmented stream in which the rule-words were exactly those we used in the current experiments, whereas the non-words selected in the test phase were sogali, femuba, bafemu, and lisoga. Comparing these items with the HF part-words used in the current experiments, one can realize that the items used by Marchetto and Bonatti (2013) differ at most in the position of one single syllable in the non-words. As expected, infants looked longer at the non-words.…”
Section: Resultsmentioning
confidence: 96%
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