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    Automatic and controlled sentence production: a computational model

    Buyakin, Eugene V. and Cooper, Richard P. (2020) Automatic and controlled sentence production: a computational model. In: UNSPECIFIED (ed.) Developing a Mind: Learning in Humans, Animals, and Machines - Proceedings of the 42nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.

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    Abstract

    We present a computational model of sentence production that emulates variation of the output of lexicalization and grammatical encoding of the abstract pre-lexical message, in terms of complexity and accuracy of the generated sentence as well as fluency and cognitive costs of the sentence production. The model integrates approaches from routine action selection models built on Dual Systems Theory (Norman & Shallice, 1986) with ‘A Blueprint for the Speaker’ developed by Levelt (1989). The paper describes and justifies the model architecture, explores factors affecting language variation in production, and applies the model for testing relationship between complexity, accuracy, and fluency (CAF) of language production as debated within Second Language Acquisition (SLA) research. A simulation that generated 78,750 sentences provides evidence of the trade-off relationship between CAF parameters as speakers have to sacrifice performance on one of the CAF factors in order to improve the remaining two.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): sentence production; attentional control; spreading activation model; language variation; complexity, accuracy, and fluency (CAF);
    School: School of Science > Psychological Sciences
    Research Centres and Institutes: Cognition, Computation and Modelling, Centre for
    Depositing User: Rick Cooper
    Date Deposited: 17 Mar 2021 16:38
    Last Modified: 19 Mar 2021 08:59
    URI: https://eprints.bbk.ac.uk/id/eprint/32069

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