DMCA
A distributed, developmental model of word recognition and naming (1989)
Cached
Download Links
| Venue: | PSYCHOLOGICAL REVIEW |
| Citations: | 706 - 49 self |
BibTeX
@ARTICLE{Seidenberg89adistributed,,
author = {Mark S. Seidenberg and James L. McClelland},
title = {A distributed, developmental model of word recognition and naming},
journal = {PSYCHOLOGICAL REVIEW },
year = {1989},
volume = {96},
number = {4},
pages = {523--568}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
A parallel distributed processing model of visual word recognition and pronunciation is described. The model consists of sets of orthographic and phonological units and an interlevel of hidden units. Weights on connections between units were modified during a training phase using the back-propagation learning algorithm. The model simulates many aspects of human performance, including (a) differences between words in terms of processing difficulty, (b) pronunciation of novel items, (c) differences between readers in terms of word recognition skill, (d) transitions from beginning to skilled reading, and (e) differences in performance on lexieal decision and naming tasks. The model's behavior early in the learning phase corresponds to that of children acquiring word recognition skills. Training with a smaller number of hidden units produces output characteristic of many dys-lexic readers. Naming is simulated without pronunciation rules, and lexical decisions are simulated without accessing word-level representations. The performance of the model is largely determined by three factors: the nature of the input, a significant fragment of written English; the learning rule, which encodes the implicit structure of the orthography in the weights on connections; and the architecture of the system, which influences the scope of what can be learned. The recognition and pronunciation of words is one of the cen-
Keyphrases
word recognition developmental model word recognition skill hidden unit naming task significant fragment phonologlc unit many aspect lexical decision human performance output characteristic implicit structure word-level representation learning rule visual word recognition lexieal decision pronunciation rule back-propa-gation learning algorithm many dys-lexic reader training phase learning phase processing difficulty novel item
