• Aucun résultat trouvé

Simulating the time course of spoken word recognition : an analysis of lexical competition in TRACE

N/A
N/A
Protected

Academic year: 2022

Partager "Simulating the time course of spoken word recognition : an analysis of lexical competition in TRACE"

Copied!
25
0
0

Texte intégral

(1)

Book Chapter

Reference

Simulating the time course of spoken word recognition : an analysis of lexical competition in TRACE

FRAUENFELDER, Ulrich Hans, PEETERS, Guus

FRAUENFELDER, Ulrich Hans, PEETERS, Guus. Simulating the time course of spoken word recognition : an analysis of lexical competition in TRACE. In: J. Grainger & A.M. Jacobs.

Localist connectionist approaches to human cognition. Mahwah, NJ : Lawrence Erlbaum, 1998. p. 101-146

Available at:

http://archive-ouverte.unige.ch/unige:83997

Disclaimer: layout of this document may differ from the published version.

1 / 1

(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(13)
(14)
(15)
(16)
(17)
(18)
(19)
(20)
(21)
(22)
(23)
(24)
(25)

Références

Documents relatifs

The results of Experiment 2A and 2B suggest that the duration of the pivotal consonant alone can indeed modulate the lexical interpretation of sequences rendered ambiguous by liaison

Under such experim ental cond itions, a view- ing position effect is obtained for norm al read- ers: Word recognition performance is best when the word is fixated slightly left of

While many computational models simulate reading, word recognition, phonological transcoding or eye movement control in text reading, only one study (Ziegler, Perry, & Zorzi,

If it is the case that Katakana has stronger sublexical associations between orthography and phonology (O⇔P connection in Figure 1) than Hiragana, due to the way this script

This set-up resulted in the fol- lowing predictions: (a) if initial lexical access is achieved through spreading activation regardless of a speaker’s intention, then for both the

This inspires a new model of spoken word recognition that combines time-specific phoneme representations similar to those in TRACE with higher-level representations based on

Its focus is on two major problems in the study of lexical processing-determining the phases involved in recognising a spoken word and identifying the nature of different types

Hence, it becomes an important research objective within this perspective to identify which words are activated during the recognition process — even if only temporarily or