2026-09-21T04:08:42Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/29749 2023-07-10 col_2142_5131 col_2142_11614 com_2142_5130 com_2142_11613 com_2142_8903

Dell, Gary S. Dell, Gary S. Bock, J. Kathryn Cohen, Neal C. Hummel, John E. Ross, Brian H. Oppenheim, Gary M. 2012-02-06T20:14:22Z 2012-02-06T20:14:22Z 2012-02-06T20:14:22Z 2011-12 Naming a picture of a dog primes the subsequent naming of a picture of a dog (repetition priming) and interferes with the subsequent naming of a picture of a cat (semantic interference). Behavioral studies suggest that these effects derive from persistent changes in the way that words are activated and selected for production, and some have claimed that the findings are only understandable by positing a competitive mechanism for lexical selection. This dissertation presents and evaluates a simple model of lexical retrieval in speech production that applies error-driven learning to its lexical activation network. This model naturally produces repetition priming and semantic interference effects. It predicts the major findings from several published experiments, demonstrating that these effects may arise from incremental learning. Furthermore, analysis of the model suggests that competition during lexical selection is not necessary for semantic interference if the learning process is itself competitive. Three additional experiments seek to evaluate the temporal persistence of semantic interference effects, as predicted by an incremental learning account. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-09-28T13:48:47Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Oppenheim_Gary.docx: 6439293 bytes, checksum: 3373004f4a5c5a2445888276b47adfc5 (MD5) Oppenheim_Gary.pdf: 3690967 bytes, checksum: 60a918bd4da83f49d00187c60692d23a (MD5) Made available in DSpace on 2012-02-06T20:14:22Z (GMT). No. of bitstreams: 3 Oppenheim_Gary.pdf: 3878144 bytes, checksum: 11e9c20678b9f793dcdaa1ecfdae08fe (MD5) license.txt: 4064 bytes, checksum: 39a498f393cacb01973944af227910e5 (MD5) Oppenheim_Gary.docx: 7176643 bytes, checksum: b43bfba1b27414c3d0bc0068838b7ed8 (MD5) Deleted previous file and uploaded updated file from Vireo. See email exchange on 2/22/2012. sls 3-1-2012 http://hdl.handle.net/2142/29749 en Copyright 2011 Gary M. Oppenheim lexical access incremental learning neural network model language production speech production word retrieval Incremental lexical learning in speech production: a computational model and empirical evaluation PHD:Psychology -UIUC 10KS0338PHD Psychology 1299 Psychology 0338 University of Illinois at Urbana-Champaign Dissertation Ph.D.