Abstract
The approach used and discussed here is one that simulates early lexical acquisition from a neural point of view. We use a hierarchy of artificial cortical maps that builds and develops models of artificial learners that are subsequently trained to recognize objects, their names, and then the adjectives pertaining to their color. Results of the model can explain what has emerged in a series of developmental research studies in early language acquisition, and can account for the different developmental patterns followed by children in acquiring nouns and adjectives, by perceptually driven associational learning processes at the synaptic level.
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Plebe, A., De la Cruz, V.M., Mazzone, M. (2013). In Learning Nouns and Adjectives Remembering Matters: A Cortical Model. In: Villavicencio, A., Poibeau, T., Korhonen, A., Alishahi, A. (eds) Cognitive Aspects of Computational Language Acquisition. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31863-4_5
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