How Efficiency Shapes Human Language.
Edward Gibson,Richard Futrell,Steven Piantadosi,Isabelle Dautriche,Kyle Mahowald,Leon Bergen,Roger Levy +6 more
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TLDR
These studies show how a pervasive pressure for efficiency guides the forms of natural language and indicate that a rich future for language research lies in connecting linguistics to cognitive psychology and mathematical theories of communication and inference.About:
This article is published in Trends in Cognitive Sciences.The article was published on 2019-05-01 and is currently open access. It has received 182 citations till now. The article focuses on the topics: Natural language & Lexicon.read more
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Broca's Area Is Not a Natural Kind.
Evelina Fedorenko,Idan Blank +1 more
TL;DR: Claims about Broca's area should be (re)cast in terms of these (and other, as yet undetermined) functional components, to establish a cumulative research enterprise where empirical findings can be replicated and theoretical proposals can be meaningfully compared and falsified.
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Emergent Multi-Agent Communication in the Deep Learning Era.
Angeliki Lazaridou,Marco Baroni +1 more
TL;DR: This article surveys representative recent language emergence studies from a scientific and applied perspective about how language evolves in communities of deep agents and its emergent features are understood.
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Lack of selectivity for syntax relative to word meanings throughout the language network.
TL;DR: Contrary to many current proposals of the neural architecture of language, syntactic/combinatorial processing is not separable from lexico-semantic processing at the level of brain regions-or even voxel subsets-within the language network, in line with strong integration between these two processes that has been consistently observed in behavioral and computational language research.
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Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
TL;DR: A new model of incremental sentence processing difficulty that unifies and extends key features of both kinds of models, and demonstrates 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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Composition is the Core Driver of the Language-selective Network
Francis Mollica,Matthew Siegelman,Evgeniia Diachek,Steven Piantadosi,Zachary Mineroff,Richard Futrell,Hope Kean,Peng Qian,Evelina Fedorenko,Evelina Fedorenko,Evelina Fedorenko +10 more
TL;DR: This finding demonstrates that composition is robust to word order violations, and that the language regions respond as strongly as they do to naturalistic linguistic input, providing that composition can take place.
References
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Book
Elements of information theory
Thomas M. Cover,Joy A. Thomas +1 more
TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
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Communication theory of secrecy systems
TL;DR: A theory of secrecy systems is developed on a theoretical level and is intended to complement the treatment found in standard works on cryptography.
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Word and Object
TL;DR: This edition offers a new preface by Quine's student and colleague Dagfinn Follesdal that describes the never-realized plans for a second edition of Word and Object, in which Quine would offer a more unified treatment of the public nature of meaning, modalities, and propositional attitudes.