In a word-naming experiment, word-body consistency was crossed with graphem
e-to-phoneme regularity to test predictions of current models of word recog
nition. In the latency and error data, a clear effect of consistency was ob
served, with the influence of regularity somewhat weaker. In addition, simu
lation data from three contemporary models of word recognition were obtaine
d for the stimuli used in the experiment in order to compare the models' la
tencies with those of humans. The simulations showed that the human latency
data are most consistent with the parallel-distributed-processing model of
Plaut, McClelland, Seidenberg, and Patterson (1996), less so with the dual
-process model (Zorzi, Houghton, & Butterworth, 1998), and least so with th
e dual-route-cascaded model (Coltheart & Rastle, 1994).