A Naturalistic, Functional Approach to Modeling Language Comprehension
نویسنده
چکیده
This paper describes a naturalistic approach to the development of a large-scale, functional, cognitively plausible model of language comprehension, and contrasts the approach with mainstream cognitive modeling and computational linguistic research. An approach to research is described which accepts the theoretical constraints of a cognitive architecture, while replacing the fine-grained empirical validation typical of small-scale cognitive modeling research with a functionalist methodology and gross level empirical validation more consistent with largescale AI and theoretical/computational linguistic research.
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