Recent work in language acquisition has shown how linguistic form emerges
from the operation of self-organizing systems. The emergentist framework
emphasizes ways in which the formal structures of language emerge from the
interaction of social patterns, patterns implicit in the input, and pressures
arising from general aspects of the cognitive system. Emergentist models
have been developed to study the acquisition of auditory and articulatory patterns
during infancy and the ways in which the learning of the first words
emerges from the linkage of auditory, articulatory, and conceptual systems.
Neural network models have also been used to study the learning of inflectional
markings and basic syntactic patterns. Using both neural network
modeling and concepts from the study of dynamic systems, it is possible to
analyze language learning as the integration of emergent dynamic systems.