Connectionist Modeling of Situated Language Processing: Language and Meaning Acquisition from an Embodiment Perspective

Abstract

Recent connectionist models and theories of embodied cognition offer new perspectives on language comprehension. We review the latest accounts on the issue and present an SRN-based model, which incorporates ideas of embodiment theories and avoids (1) vast architectural complexity, (2) explicit structured semantic input, and (3) separated training regimens for processing components.


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