Connectionism, learning and linguistics structure
This thesis presents a connectionist theory of how infinite languages may fit within finite minds. Arguments are presented against the distinction between linguistic competence and observable language performance. It is suggested that certain kinds of finite state automata, i.e recurrent neural networks are likely to have suffcient computational power,and the necessary generalization capability,to serve as models for the procesing and acquisition of linguistic structure.
Christiansen, Morten H.
Connectionism, learning and linguistics structure. This thesis presents a connectionist theory of how infinite languages may fit within finite minds. Arguments are presented against the distinction between linguistic competence and observable language performance. It is suggested that certain kinds of finite state automata, i.e recurrent neural networks are likely to have suffcient computational power,and the necessary generalization capability,to serve as models for the procesing and acquisition of linguistic structure.
learn linguistics structure present connectionist theory infinite language may fit within finite mind arguments present distinction linguistic_competence observable language performance suggest certain_kind finite state recurrent neural network likely computational power necessary generalization capability serve model acquisition linguistic_structure