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  1. Machine Meets Man: Evaluating the Psychological Reality of Corpus-based Probabilistic Models.Dagmar Divjak, Ewa Dąbrowska & Antti Arppe - 2016 - Cognitive Linguistics 27 (1):1-33.
    Name der Zeitschrift: Cognitive Linguistics Jahrgang: 27 Heft: 1 Seiten: 1-33.
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  • Semiotic Grammar.William B. Mcgregor - 1997 - Oxford University Press UK.
    The label `semiotic grammar' captures a fundamental property of the grammars of human languages: not only is language a semiotic system in the familiar Saussurean sense, but its organizing system, its grammar, is also a semiotic system. This proposition, explicated in detail by William McGregor in this book, constitutes a new theory of grammar. Semiotic Grammar is `functional' rather than `formal' in its intellectual origins, approaches, and methods. It demonstrates, however, that neither a purely functional nor a purely formal account (...)
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  • The Now-or-Never bottleneck: A fundamental constraint on language.Morten H. Christiansen & Nick Chater - 2016 - Behavioral and Brain Sciences 39:e62.
    Memory is fleeting. New material rapidly obliterates previous material. How, then, can the brain deal successfully with the continual deluge of linguistic input? We argue that, to deal with this “Now-or-Never” bottleneck, the brain must compress and recode linguistic input as rapidly as possible. This observation has strong implications for the nature of language processing: (1) the language system must “eagerly” recode and compress linguistic input; (2) as the bottleneck recurs at each new representational level, the language system must build (...)
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  • The communicative function of ambiguity in language.Steven T. Piantadosi, Harry Tily & Edward Gibson - 2012 - Cognition 122 (3):280-291.
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  • Rhythmic alternation and the optional complementiser in English: New evidence of phonological influence on grammatical encoding.Ming-Wei Lee & Julie Gibbons - 2007 - Cognition 105 (2):446-456.
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  • Investigating locality effects and surprisal in written English syntactic choice phenomena.Rajakrishnan Rajkumar, Marten van Schijndel, Michael White & William Schuler - 2016 - Cognition 155 (C):204-232.
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  • Generalizability in mixed models: Lessons from corpus linguistics.Freek Van de Velde, Stefano De Pascale & Dirk Speelman - 2022 - Behavioral and Brain Sciences 45.
    Part of the generalizability issues that haunt controlled lab experiment designs in psychology, and more particularly in psycholinguistics, can be alleviated by adopting corpus linguistic methods. These work with natural data. This advantage comes at a cost: in corpus studies, lexemes and language users can show different kinds of skew. We discuss a number of solutions to bolster the control.
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