The Neural Theory of Language project aims to build structured connectionist models of language and cognition consistent with constraints from all domains and at all levels. These constraints include recent experimental evidence that details of neural computation and brain architecture play a crucial role in language processing. We focus in this paper on the computational level and explore the role of embodied representations and simulative inference in language understanding.
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