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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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In: ISSN: 2515-2459 ; EISSN: 2515-2467 ; Advances in Methods and Practices in Psychological Science ; https://hal-univ-rennes1.archives-ouvertes.fr/hal-02509817 ; Advances in Methods and Practices in Psychological Science, [Thousand Oaks]: [SAGE Publications], 2020, 3 (1), pp.24-52. ⟨10.1177/2515245919900809⟩ (2020)
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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In: ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, vol 3, iss 1 (2020)
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Quantifying sources of variability in infancy research using the infant-directed-speech preference
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Do Infants Learn Words From Statistics? Evidence From English-Learning Infants Hearing Italian
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Infants' Lexical Processing Efficiency is Related to Vocabulary Size by One Year of Age
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Infant statistical-learning ability is related to real-time language processing
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Lexical-processing efficiency leverages novel word learning in infants and toddlers
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Toddlers can use semantic cues to learn difficult nonadjacent dependencies ...
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Judging words by their covers and the company they keep: probabilistic cues support word learning.
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Judging Words by Their Covers and the Company They Keep: Probabilistic Cues Support Word Learning
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Probabilistically-Cued Patterns Trump Perfect Cues in Statistical Language Learning
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Abstract:
Probabilistically-cued co-occurrence relationships between word categories are common in natural languages but difficult to acquire. For example, in English, determiner-noun and auxiliary-verb dependencies both involve co-occurrence relationships, but determiner-noun relationships are more reliably marked by correlated distributional and phonological cues, and appear to be learned more readily. We tested whether experience with co-occurrence relationships that are more reliable promotes learning those that are less reliable using an artificial language paradigm. Prior experience with deterministically-cued contingencies did not promote learning of less reliably-cued structure, nor did prior experience with relationships instantiated in the same vocabulary. In contrast, prior experience with probabilistically-cued co-occurrence relationships instantiated in different vocabulary did enhance learning. Thus, experience with co-occurrence relationships sharing underlying structure but not vocabulary may be an important factor in learning grammatical patterns. Furthermore, experience with probabilistically-cued co-occurrence relationships, despite their difficultly for naïve learners, lays an important foundation for learning novel probabilistic structure.
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URL: https://doi.org/10.1080/15475441.2012.685826
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961759
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Interactions between statistical and semantic information in infant language development
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From Statistics to Meaning: Infants’ Acquisition of Lexical Categories
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