Modeling the word recognition data of Vitevitch and Luce (1998): is it ARTful?

摘要: Vitevitch and Luce (1998) showed that the probability with which phonemes co-occur in language (phonotactic probability) affects speed words nonwords are named. Words high phonotactic probabilities between were named more slowly than low probabilities, whereas nonwords, just opposite was found. To reproduce this reversal performance, a model would seem to require not merely sublexical representations, but representations relatively independent of lexical representations. ARTphone (Grossberg, Boardman, & Cohen, 1997) is designed meet these requirements. In study, we used technique called parameter space partitioning analyze ARTphone’s behavior learn if it can mimic human and, so, understand how. perform best, differences node must be amplified relative offset additional source inhibition (from top-down masking) found at level.