Search Results - "Piantadosi, Steven T."

Zipf’s word frequency law in natural language: A critical review and future directions by Piantadosi, Steven T.

“…The frequency distribution of words has been a key object of study in statistical linguistics for the past 70 years. This distribution approximately follows a…”
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Word lengths are optimized for efficient communication by Piantadosi, Steven T, Tily, Harry, Gibson, Edward

“…We demonstrate a substantial improvement on one of the most celebrated empirical laws in the study of language, Zipf's 75-y-old theory that word length is…”
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Rational integration of noisy evidence and prior semantic expectations in sentence interpretation by Gibson, Edward, Bergen, Leon, Piantadosi, Steven T.

“…Sentence processing theories typically assume that the input to our language processing mechanisms is an error-free sequence of words. However, this assumption…”
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The Goldilocks effect: human infants allocate attention to visual sequences that are neither too simple nor too complex by Kidd, Celeste, Piantadosi, Steven T, Aslin, Richard N

“…Human infants, like immature members of any species, must be highly selective in sampling information from their environment to learn efficiently. Failure to…”
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The Logical Primitives of Thought: Empirical Foundations for Compositional Cognitive Models by Piantadosi, Steven T., Tenenbaum, Joshua B., Goodman, Noah D.

“…The notion of a compositional language of thought (LOT) has been central in computational accounts of cognition from earliest attempts (Boole, 1854; Fodor,…”
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Color naming across languages reflects color use by Gibson, Edward, Futrell, Richard, Jara-Ettinger, Julian, Mahowald, Kyle, Bergen, Leon, Ratnasingam, Sivalogeswaran, Gibson, Mitchell, Piantadosi, Steven T., Conway, Bevil R.

“…What determines how languages categorize colors? We analyzed results of the World Color Survey (WCS) of 110 languages to show that despite gross differences…”
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Exact Number Concepts Are Limited to the Verbal Count Range by Pitt, Benjamin, Gibson, Edward, Piantadosi, Steven T.

“…Previous findings suggest that mentally representing exact numbers larger than four depends on a verbal count routine (e.g., “one, two, three . . .”). However,…”
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Universal and uniquely human factors in spontaneous number perception by Ferrigno, Stephen, Jara-Ettinger, Julian, Piantadosi, Steven T., Cantlon, Jessica F.

“…A capacity for nonverbal numerical estimation is widespread among humans and animals. However, it is currently unclear whether numerical percepts are…”
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A Noisy-Channel Account of Crosslinguistic Word-Order Variation by Gibson, Edward, Piantadosi, Steven T., Brink, Kimberly, Bergen, Leon, Lim, Eunice, Saxe, Rebecca

“…The distribution of word orders across languages is highly nonuniform, with subject-verb-object (SVO) and subject-object-verb (SOV) orders being prevalent…”
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Verbal counting and the timing of number acquisition in an indigenous Amazonian group by Boni, Isabelle, Jara-Ettinger, Julian, Sackstein, Sophie, Piantadosi, Steven T

“…Children in industrialized cultures typically succeed on Give-N, a test of counting ability, by age 4. On the other hand, counting appears to be learned much…”
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Symbolic metaprogram search improves learning efficiency and explains rule learning in humans by Rule, Joshua S., Piantadosi, Steven T., Cropper, Andrew, Ellis, Kevin, Nye, Maxwell, Tenenbaum, Joshua B.

“…Throughout their lives, humans seem to learn a variety of rules for things like applying category labels, following procedures, and explaining causal…”
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One parameter is always enough by Piantadosi, Steven T.

“…We construct an elementary equation fθ(x) with a single real valued parameter θ ∈ [0, 1] that, as θ varies, is capable of fitting any scatter plot on any…”
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Composition is the Core Driver of the Language-selective Network by Mollica, Francis, Siegelman, Matthew, Diachek, Evgeniia, Piantadosi, Steven T., Mineroff, Zachary, Futrell, Richard, Kean, Hope, Qian, Peng, Fedorenko, Evelina

“…The frontotemporal language network responds robustly and selectively to sentences. But the features of linguistic input that drive this response and the…”
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Cognitive Mechanisms Underlying Recursive Pattern Processing in Human Adults by Dedhe, Abhishek M., Piantadosi, Steven T., Cantlon, Jessica F.

“…The capacity to generate recursive sequences is a marker of rich, algorithmic cognition, and perhaps unique to humans. Yet, the precise processes driving…”
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Humans store about 1.5 megabytes of information during language acquisition by Mollica, Francis, Piantadosi, Steven T

“…We introduce theory-neutral estimates of the amount of information learners possess about how language works. We provide estimates at several levels of…”
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A Corpus Investigation of Syntactic Embedding in Pirahã by Futrell, Richard, Stearns, Laura, Everett, Daniel L, Piantadosi, Steven T, Gibson, Edward

“…The Pirahã language has been at the center of recent debates in linguistics, in large part because it is claimed not to exhibit recursion, a purported…”
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Latent Diversity in Human Concepts by Marti, Louis, Wu, Shengyi, Piantadosi, Steven T., Kidd, Celeste

“…Many social and legal conflicts hinge on semantic disagreements. Understanding the origins and implications of these disagreements necessitates novel methods…”
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A threshold-free model of numerosity comparisons by Alonso-Diaz, Santiago, Cantlon, Jessica F, Piantadosi, Steven T

“…A dominant mechanism in the Judgment and Decision Making literature states that information is accumulated about each choice option until a decision threshold…”
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The algorithmic origins of counting by Piantadosi, Steven T.

“…The study of how children learn numbers has yielded one of the most productive research programs in cognitive development, spanning empirical and computational…”
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One model for the learning of language by Yang, Yuan, Piantadosi, Steven T

“…A major goal of linguistics and cognitive science is to understand what class of learning systems can acquire natural language. Until recently, the…”
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