Connectionist Natural Language Processing

Connectionism and congitive linguistics, C.L. Harris; a Connectionist model of motion and government on Chomsky's government-binding theory, J. Rager and G. Berg; syntactic transformations on distributed representations, D.J. Chalmers; syntactic neural networks, S.M. Lucas and R.I. Damper; incremental syntactic tree formation in human sentence processing - a cognitive architecture based on activation decay and simulated annealing, G. Kempen and T. Vosse; a hybrid symbolic/Connectionist model for noun phrase understanding, S. Wermter and W.G. Lehnert; Connectionism & determinism in a syntactic parser, S.C. Kwasny and K.A. Faisal; a single layer higher order neural net and its application to context free grammar recognition, P.J. Wyard and C. Nightingale; Connectionist language users, R.B. Allen; script recognition with hierarchical feature maps, R. Mikkulainen; learning distributed representations of conceptual knowledge and their application to script-based story processing, G. Lee et al; a hybrid model of script generation or getting the best from both worlds, S.M. Mannes and S.M. Doane; identification of topical entities in discourse - a Connectionist approach to attentional mechanisms in language, L.F.R. Karen; the role of similarity in Hungarian vowel harmony - a Connectionist account, M. Hare; representation and recognition of temporal patterns, R.F. Port; networks that learn about phonological feature persistence, M. Gasser and Chan-Do Lee; pronunciation of digit sequences in text-to-speech systems, W.A. Ainsworth and W.P. Arren.