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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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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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Abstract:
Due to the hierarchical organization of natural languages, words that are syntactically related are not always linearly adjacent. For example, the subject and verb in the child always runs agree in person and number, although they are not adjacent in the sequences of words. Since such dependencies are indicative of abstact linguistc structure, it is of significant theoretical interest how these relationships are acquired by language learners. Most experiments that investigate non-adjacent dependency (NAD) learning have used artificial languages in which the to-be-learned dependencies are isolated, by presenting the minimal sequences that contain the dependent elements. However, dependencies in natural language are not typically isolated in this way. We report the first demonstration to our knowledge of successful learning of embedded NADs, in which silences do not mark dependency boundaries. Subjects heard passages of English with a predictable structure, interspersed with passages of the artificial ...
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Keyword:
Cognitive Psychology; FOS Languages and literature; FOS Psychology; Linguistics; Psychology; Social and Behavioral Sciences; Syntax
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URL: https://dx.doi.org/10.17605/osf.io/uw5nx https://psyarxiv.com/uw5nx/
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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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