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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 21 – 30 of 30 21 A modular approach to self-organization of robot control based on language instruction Wermter, Stefan; Elshaw, Mark; Farrand, Simon In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 15 (2003) 2, 73-94 OLC Linguistik Show details 22 Mirror neurons and the evolution of brain and language : [selected contributions to the Symposium on Mirror Neurons and the Evolution of Brain and Language held on July 5 - 8, 2000 in Delmenhorst, Germany] Fogassi, Leonardo (Mitarb.); Stamenov, Maksim (Hrsg.); Rotondo, Jennifer L. (Mitarb.). - Amsterdam [u.a.] : Benjamins, 2002 BLLDB UB Frankfurt Linguistik Show details 23 Self-Organising Networks for Classification Learning from Normal and Aphasic Speech Garfield, Sheila; Elshaw, Mark; Wermter, Stefan. - 2001 Abstract: An understanding of language processing in humans is critical if realistic computerised systems are to be produced to perform various language operations. The examination of aphasia in individuals has provided a large amount of information on the organisation of language processing, with particular reference to the regions in the brain where processing occurs and the ability to regain language functionality despite damage to the brain. Given the importance played by aphasic studies an approach that can distinguish between aphasic forms was devised by using a Kohonen self-organising network to classify sentences from the CAP (Comparative Aphasia Project) Corpus. We demonstrate that the different distributions of words in aphasics types may lead to grammatical systems which inhabit different areas in self-organising maps. Keyword: Artificial Intelligence URL: http://conferences.inf.ed.ac.uk/cogsci2001/ http://sure.sunderland.ac.uk/id/eprint/5690/ BASE Hide details 24 The hybrid approach to ANN-based natural language processing Wermter, Stefan In: Handbook of natural language processing. - New York [u.a.] : Dekker (2000), 823-846 BLLDB Show details 25 Hybrid connectionist natural language processing Wermter, Stefan. - London [u.a.] : Chapman & Hall, 1995 BLLDB UB Frankfurt Linguistik Show details 26 A parallel model for compositional similarity of natural language concepts Wermter, Stefan; Lehnert, Wendy G. In: Parallel natural language processing (Norwood, NJ, 1994), p. 376-394 MPI für Psycholinguistik Show details 27 Learning fault-tolerant speech parsing with SCREEN Wermter, Stefan; Weber, Volker. - 1994 BASE Show details 28 Noun phrase analysis with connectionist networks Wermter, Stefan; Lehnert, Wendy G. In: Connectionist approaches to natural language processing. - Hove [u.a.] : Erlbaum (1992), 75-95 BLLDB Show details 29 A survey of question answering in natural language processing Wermter, Stefan; Lehnert, Wendy G. In: Poetics. - Amsterdam : Elsevier 19 (1990) 1-2, 99-120 BLLDB Show details 30 A hybrid symbolic/connectionist model for noun phrase understanding Wermter, Stefan; Lehnert, Wendy G. In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 1 (1989) 3, 255-272 BLLDB Show details Page: 1 2

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