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Structural, Functional, and Processing Perspectives on Linguistic Island Effects
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In: EISSN: 2333-9691 ; Annual Review of Linguistics ; https://hal.archives-ouvertes.fr/hal-03506510 ; Annual Review of Linguistics, Annual Reviews, 2022, 8 (1), ⟨10.1146/annurev-linguistics-011619-030319⟩ (2022)
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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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A verb-frame frequency account of constraints on long-distance dependencies in English
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In: Prof. Gibson (2022)
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Dependency locality as an explanatory principle for word order
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In: Prof. Levy (2022)
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Extraction from subjects: Differences in acceptability depend on the discourse function of the construction
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In: Prof. Gibson (2022)
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Grammatical cues are largely, but not completely, redundant with word meanings in natural language ...
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Efficient communication and the organization of the lexicon
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In: OUP volume on the Mental Lexicon ; https://hal.archives-ouvertes.fr/hal-03482414 ; OUP volume on the Mental Lexicon, In press, ⟨10.31234/osf.io/4an6v⟩ (2021)
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An ERP index of real-time error correction within a noisy-channel framework of human communication.
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What did I sign? A study of the impenetrability of legalese in contracts
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Variation in spatial concepts: Different frames of reference on different axes
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Syntactic dependencies correspond to word pairs with high mutual information
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In: Association for Computational Linguistics (2021)
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Syntactic dependencies correspond to word pairs with high mutual information
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In: Association for Computational Linguistics (2021)
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Word Order Predicts Cross‐Linguistic Differences in the Production of Redundant Color and Number Modifiers
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In: MIT web domain (2021)
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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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What did I sign? A study of the impenetrability of legalese in contracts ...
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Variation in spatial concepts: Different frames of reference on different axes ...
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Communication efficiency of color naming across languages provides a new framework for the evolution of color terms
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In: PMC (2021)
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Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
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In: Wiley (2021)
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Abstract:
Copyright © 2020 The Authors. Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society (CSS) A key component of research on human sentence processing is to characterize the processing difficulty associated with the comprehension of words in context. Models that explain and predict this difficulty can be broadly divided into two kinds, expectation-based and memory-based. In this work, we present a new model of incremental sentence processing difficulty that unifies and extends key features of both kinds of models. Our model, lossy-context surprisal, holds that the processing difficulty at a word in context is proportional to the surprisal of the word given a lossy memory representation of the context—that is, a memory representation that does not contain complete information about previous words. We show that this model provides an intuitive explanation for an outstanding puzzle involving interactions of memory and expectations: language-dependent structural forgetting, where the effects of memory on sentence processing appear to be moderated by language statistics. Furthermore, we demonstrate that dependency locality effects, a signature prediction of memory-based theories, can be derived from lossy-context surprisal as a special case of a novel, more general principle called information locality.
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URL: https://hdl.handle.net/1721.1/135946
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Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network
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In: Cereb Cortex (2021)
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