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  1.  77
    Non‐adjacent Dependency Learning in Humans and Other Animals.Benjamin Wilson, Michelle Spierings, Andrea Ravignani, Jutta L. Mueller, Toben H. Mintz, Frank Wijnen, Anne Kant, Kenny Smith & Arnaud Rey - 2020 - Topics in Cognitive Science 12 (3):843-858.
    Wilson et al. focus on one class of AGL tasks: the cognitively demanding task of detecting non‐adjacent dependencies (NADs) among items. They provide a typology of the different types of NADs in natural languages and in AGL tasks. A range of cues affect NAD learning, ranging from the variability and number of intervening elements to the presence of shared prosodic cues between the dependent items. These cues, important for humans to discover non‐adjacent dependencies, are also found to facilitate NAD learning (...)
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  2.  32
    Frequent frames as a cue for grammatical categories in child directed speech.Toben H. Mintz - 2003 - Cognition 90 (1):91-117.
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  3.  72
    Non‐adjacent Dependency Learning in Humans and Other Animals.Benjamin Wilson, Michelle Spierings, Andrea Ravignani, Jutta L. Mueller, Toben H. Mintz, Frank Wijnen, Anne van der Kant, Kenny Smith & Arnaud Rey - 2018 - Topics in Cognitive Science 12 (3):843-858.
    Wilson et al. focus on one class of AGL tasks: the cognitively demanding task of detecting non‐adjacent dependencies (NADs) among items. They provide a typology of the different types of NADs in natural languages and in AGL tasks. A range of cues affect NAD learning, ranging from the variability and number of intervening elements to the presence of shared prosodic cues between the dependent items. These cues, important for humans to discover non‐adjacent dependencies, are also found to facilitate NAD learning (...)
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  4.  42
    The distributional structure of grammatical categories in speech to young children.Toben H. Mintz, Elissa L. Newport & Thomas G. Bever - 2002 - Cognitive Science 26 (4):393-424.
    We present a series of three analyses of young children's linguistic input to determine the distributional information it could plausibly offer to the process of grammatical category learning. Each analysis was conducted on four separate corpora from the CHILDES database (MacWhinney, 2000) of speech directed to children under 2;5. We showthat, in accord with other findings, a distributional analysis which categorizeswords based on their co‐occurrence patterns with surroundingwords successfully categorizes the majority of nouns and verbs. In Analyses 2 and 3, (...)
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  5.  22
    Infants' sensitivity to vowel harmony and its role in segmenting speech.Toben H. Mintz, Rachel L. Walker, Ashlee Welday & Celeste Kidd - 2018 - Cognition 171 (C):95-107.
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  6.  9
    The role of reference in cross-situational word learning.Felix Hao Wang & Toben H. Mintz - 2018 - Cognition 170 (C):64-75.
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  7.  29
    Stress changes the representational landscape: evidence from word segmentation.Suzanne Curtin, Toben H. Mintz & Morten H. Christiansen - 2005 - Cognition 96 (3):233-262.
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  8.  2
    Dynamic Motion and Human Agents Facilitate Visual Nonadjacent Dependency Learning.Helen Shiyang Lu & Toben H. Mintz - 2023 - Cognitive Science 47 (9):e13344.
    Many events that humans and other species experience contain regularities in which certain elements within an event predict certain others. While some of these regularities involve tracking the co‐occurrences between temporally adjacent stimuli, others involve tracking the co‐occurrences between temporally distant stimuli (i.e., nonadjacent dependencies, NADs). Prior research shows robust learning of adjacent dependencies in humans and other species, whereas learning NADs is more difficult, and often requires support from properties of the stimulus to help learners notice the NADs. Here, (...)
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  9.  8
    Language acquisition is model-based rather than model-free.Felix Hao Wang & Toben H. Mintz - 2016 - Behavioral and Brain Sciences 39.
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