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    • Piantadosi, Steven T. (23)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 21 – 27 of 27 21 Zipf’s word frequency law in natural language: A critical review and future directions Piantadosi, Steven T.. - 2014 BASE Show details 22 Quantitative methods in syntax/semantics research: A response to Sprouse and Almeida (2013) Gibson, Edward; Piantadosi, Steven T.; Fedorenko, Evelina In: Language and cognitive processes. - Abingdon : Routledge, Taylor & Francis Group 28 (2013) 3, 229-240 OLC Linguistik Show details 23 Rational integration of noisy evidence and prior semantic expectations in sentence interpretation Gibson, Edward; Bergen, Leon; Piantadosi, Steven T.. - : National Academy of Sciences, 2013 Abstract: Sentence processing theories typically assume that the input to our language processing mechanisms is an error-free sequence of words. However, this assumption is an oversimplification because noise is present in typical language use (for instance, due to a noisy environment, producer errors, or perceiver errors). A complete theory of human sentence comprehension therefore needs to explain how humans understand language given imperfect input. Indeed, like many cognitive systems, language processing mechanisms may even be “well designed”–in this case for the task of recovering intended meaning from noisy utterances. In particular, comprehension mechanisms may be sensitive to the types of information that an idealized statistical comprehender would be sensitive to. Here, we evaluate four predictions about such a rational (Bayesian) noisy-channel language comprehender in a sentence comprehension task: (i) semantic cues should pull sentence interpretation towards plausible meanings, especially if the wording of the more plausible meaning is close to the observed utterance in terms of the number of edits; (ii) this process should asymmetrically treat insertions and deletions due to the Bayesian “size principle”; such nonliteral interpretation of sentences should (iii) increase with the perceived noise rate of the communicative situation and (iv) decrease if semantically anomalous meanings are more likely to be communicated. These predictions are borne out, strongly suggesting that human language relies on rational statistical inference over a noisy channel. Keyword: Social Sciences URL: http://www.ncbi.nlm.nih.gov/pubmed/23637344 https://doi.org/10.1073/pnas.1216438110 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3657782 BASE Hide details 24 Rational integration of noisy evidence and prior semantic expectations in sentence interpretation Gibson, Edward A.; Bergen, Leon; Piantadosi, Steven T. In: PNAS (2012) BASE Show details 25 Bootstrapping in a language of thought: A formal model of conceptual change in number word learning ; Bootstrapping in a language of thought: A formal model of numerical concept learning Piantadosi, Steven T.; Tenenbaum, Joshua B.; Goodman, Noah D. In: Other univ. web domain (2012) BASE Show details 26 The communicative function of ambiguity in language Piantadosi, Steven T.; Tily, Harry; Gibson, Edward A. In: Prof. Gibson (2011) BASE Show details 27 Word lengths are optimized for efficient communication Piantadosi, Steven T.; Tily, Harry; Gibson, Edward. - : National Academy of Sciences, 2011 BASE Show details Page: 1 2

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