User:Anxhelina123/sandbox

<!-- EDIT BELOW THIS LINE As mentioned in the Introduction, the distinction between words and nonwords is of fundamental importance to the lexical system, and many researchers incorporate this distinction into their models by representing words as explicit structural entities such as logogens or localist word units. Such units provide a natural account of how skilled readers can accurately distinguish written words from nonwords in lexical decision (LD) tasks. Given that the current distributed connectionist approach to lexical processing does not contain word-specic representations, it becomes important to establish that distributed models can, in fact, perform lexical decision accurately and that, in doing so, they are inuenced by properties of the words and nonwords in the same way as human readers.

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