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How Efficiency Shapes Human Language
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In: https://hal.archives-ouvertes.fr/hal-03552539 ; 2022 (2022)
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An ERP index of real-time error correction within a noisy-channel framework of human communication.
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An ERP index of real-time error correction within a noisy-channel framework of human communication
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In: bioRxiv (2021)
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Word Frequency Does Not Predict Grammatical Knowledge in Language Models ...
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How Efficiency Shapes Human Language ; How Efficiency Shapes Human Language, TICS 2019
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In: Prof. Levy via Courtney Crummett (2019)
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Color naming across languages reflects color use
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In: National Academy of Sciences (2018)
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Learning Structured Preferences
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In: Other univ. web domain (2017)
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Processing temporal presuppositions: an event-related potential study
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In: Prof. Gibson via Courtney Crummett (2016)
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Processing temporal presuppositions: an event-related potential study ...
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Processing temporal presuppositions: an event-related potential study ...
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A rational inference approach to aphasic language comprehension
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In: Prof. Gibson via Courtney Crummett (2015)
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Nonliteral understanding of number words
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In: National Academy of Sciences (U.S.) (2014)
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Abstract:
One of the most puzzling and important facts about communication is that people do not always mean what they say; speakers often use imprecise, exaggerated, or otherwise literally false descriptions to communicate experiences and attitudes. Here, we focus on the nonliteral interpretation of number words, in particular hyperbole (interpreting unlikely numbers as exaggerated and conveying affect) and pragmatic halo (interpreting round numbers imprecisely). We provide a computational model of number interpretation as social inference regarding the communicative goal, meaning, and affective subtext of an utterance. We show that our model predicts humans’ interpretation of number words with high accuracy. Our model is the first to our knowledge to incorporate principles of communication and empirically measured background knowledge to quantitatively predict hyperbolic and pragmatic halo effects in number interpretation. This modeling framework provides a unified approach to nonliteral language understanding more generally. ; National Science Foundation (U.S.). Graduate Research Fellowship Program
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URL: http://hdl.handle.net/1721.1/95752
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Rational integration of noisy evidence and prior semantic expectations in sentence interpretation
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Rational integration of noisy evidence and prior semantic expectations in sentence interpretation
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In: PNAS (2012)
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