Interactive processes in speech perception: the TRACE model
Parallel distributed processing: explorations in the microstructure of cognition, vol. 2
The computational brain
Infant: a connectionist-like knowledge base and natural language processing system
Infant: a connectionist-like knowledge base and natural language processing system
INFANT: a modular approach to natural language processing
CSC '93 Proceedings of the 1993 ACM conference on Computer science
Image and brain: the resolution of the imagery debate
Image and brain: the resolution of the imagery debate
Course In General Linguistics
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This paper argues that language acquisition can be explained through the interactions of neural networks that represent images and words. Language development, according to the hypothesis to be presented, is largely a learning process in which grammatical rules are derived from the universal capability for recognizing, through spatial and temporal attributes of neural connectivity, case roles and propositions in perceived and imagined mental images. Neural patterns representing sounds and words are associated with image objects, and more abstract part-of-speech patterns form expectations that lead to syntactic rules. A conceptual model of the image-syntactic hypothesis is outlined in a series of steps to describe the transition from mental images to syntactic constructions.