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Learning non-adjacent rules and non-adjacent dependencies from human actions in 9-month-old infants
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In: PLoS One (2021)
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Top-Down Grouping Affects Adjacent Dependency Learning
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In: Psychology Faculty Publications (2020)
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Distributional Regularities of Form Class in Speech to Young Children
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In: North East Linguistics Society (2020)
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Non-adjacent Dependency Learning in Humans and Other Animals
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In: ISSN: 1756-8757 ; EISSN: 1756-8765 ; Topics in cognitive science ; https://hal.archives-ouvertes.fr/hal-02096276 ; Topics in cognitive science, Wiley, 2018, ⟨10.1111/tops.12381⟩ (2018)
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Learning Non-Adjacent Dependencies Embedded in Sentences of an Artificial Language: When Learning Breaks Down (in press, JEP: LMC) ...
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Abstract:
The structure of natural languages give rise to many dependencies in the linear sequences of words, and within words themselves. Detecting these dependencies is arguably critical for young children in learning the underlying structure of their language. There is considerable evidence that human adults and infants are sensitive to the statistical properties of sequentially adjacent items. However, the conditions under which learners detect non-adjacent dependencies (NADs) appears to be much more limited. This has resulted in proposals that the kinds of learning mechanisms learners deploy in processing adjacent dependencies are fundamentally different from those deployed in learning NADs. Here we challenge this view. In four experiments, we show that learning both kinds of dependencies is hindered in conditions when they are embedded in longer sequences of words, and facilitated when they are isolated by silences. We argue that the findings from the present study and prior research is consistent with a theory ...
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Keyword:
Cognition and Perception; Cognitive Psychology; FOS Languages and literature; FOS Psychology; Linguistics; Psycholinguistics and Neurolinguistics; Psychology; Social and Behavioral Sciences
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URL: https://dx.doi.org/10.17605/osf.io/b3udt https://doi.org/10.31234/osf.io/b3udt
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Infants' Sensitivity to Vowel Harmony and its Role in Segmenting Speech ...
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Top-Down Structure Influences Learning of Non-Adjacent Dependencies in an Artificial Language ...
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Infants’ Sensitivity to Vowel Harmony and its Role in Segmenting Speech
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Word Categorization From Distributional Information: Frames Confer More Than the Sum of Their (Bigram) Parts
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The Segmentation of Sub-Lexical Morphemes in English-Learning 15-Month-Olds
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Comparing the efficacy of bigrams and frames in cuing lexical categories for human learners
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In: Mintz, Toben. (2011). Comparing the efficacy of bigrams and frames in cuing lexical categories for human learners. Proceedings of the Cognitive Science Society, 33(33). Retrieved from: http://www.escholarship.org/uc/item/04f054dq (2011)
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Categorizing words using ‘frequent frames’: what cross-linguistic analyses reveal about distributional acquisition strategies
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In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-02472835 ; Developmental Science, Wiley, 2009, 12 (3), pp.396-406. ⟨10.1111/j.1467-7687.2009.00825.x⟩ (2009)
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Categorizing Words Using “Frequent Frames”: What Cross-Linguistic Analyses Reveal About Distributional Acquisition Strategies
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Unique Entropy As A Model Of Linguistic Classification
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In: Mintz, Toben H.(2000). Unique Entropy As A Model Of Linguistic Classification. Proceedings of the Cognitive Science Society, 22(22). Retrieved from: http://www.escholarship.org/uc/item/4612s6zn (2000)
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