OB1-Reader: A Model of Word Recognition and Eye Movements in Text Reading.
Decades of reading research have led to sophisticated accounts of single-word recognition and, in parallel, accounts of eye-movement control in text reading. Although these two endeavors have strongly advanced the field, their relative independence has precluded an integrated account of the reading...
| Publicado en: | Psychological Review Vol. 125; no. 6; pp. 969 - 985 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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American Psychological Association
Nov2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=133445278&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 133445278 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0033295X PYV jtl: Psychological Review issn: 0033295X maglogo: N pubinfo: dt: Nov2018 vid: 125 iid: 6 pid: 34 pub: American Psychological Association artinfo: ui: 133445278 10.1037/rev0000119 ppf: 969 ppct: 16 formats: tig: atl: OB1-Reader: A Model of Word Recognition and Eye Movements in Text Reading. aug: au: Snell, Joshua van Leipsig, Sam Grainger, Jonathan Meeter, Martijn affil: Aix-Marseille University Brain & Language Research Institute, Marseille, France Vrije Universiteit Amsterdam Centre National de Recherche Scientifique, Marseille, France Vrije Universiteit Amsterdam and LEARN! Research Institute, Amsterdam, the Netherlands su: Reading Word recognition Eye movements Reading machines Sentences (Grammar) sug: subj: Reading Word recognition Eye movements Reading machines Sentences (Grammar) keyword: computational model lexical processing orthographic processing parallel word processing text reading computational model lexical processing orthographic processing parallel word processing text reading ab: Decades of reading research have led to sophisticated accounts of single-word recognition and, in parallel, accounts of eye-movement control in text reading. Although these two endeavors have strongly advanced the field, their relative independence has precluded an integrated account of the reading process. To bridge the gap, we here present a computational model of reading, OBI-reader, which integrates insights from both literatures. Key features of OBI are as follows: (1) parallel processing of multiple words, modulated by an attentional window of adaptable size; (2) coding of input through a layer of open bigram nodes that represent pairs of letters and their relative position; (3) activation of word representations based on constituent bigram activity, competition with other word representations and contextual predictability; (4) mapping of activated words onto a spatiotopic sentence-level representation to keep track of word order; and (5) saccade planning, with the saccade goal being dependent on the length and activation of surrounding word units, and the saccade onset being influenced by word recognition. A comparison of simulation results with experimental data shows that the model provides a fruitful and parsimonious theoretical framework for understanding reading behavior. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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