Computational Psycholinguistics AI And Connectionist Models Of Human Language Processing

This text focuses on the use of computer simulation models in cognitive approaches to human language processing. A substantial range of computer models is presented and compared. The characteristic focus points of current trends in psycholinguistics are all covered. Firstly, psycholinguistics has a strong computational element and computer models can no longer be ignored in the description of important psycholinguistic theory. Secondly, the research area has recently seen a clash between the established "symbolic" view and the more recent "subsymbolic" connectionist approach to psycholinguistics. Thirdly, psycholinguistics has become an area of research that can be viewed as multidisciplinary, where co-operation takes place with researchers in linguistics as well as more diverse fields such as computer science, engineering, biophysics and philosophy.

Part 1 Computer modelling: computer models in psycholinguistics - an introduction; computational modelling in artificial intelligence; connectionist modelling. Part 2 Models of language comprehension: modelling multiple influences in speech perception; computational models of spoken word recognition; visual word recognition - models and experiments; modelling the processing of morphologically complex words; computational models of syntactic processing in language comprehension; discourse comprehension models. Part 3 Models of Language Production: discourse planning - empirical research and computer modelling; computational models of incremental grammatical encoding; computational models of lemma retrieval; computational models of phonological encoding; modelling approaches in speech production; computer models of handwriting.