The TRACE model of word recognition predicts the activation of "words within words" (tar in guitar). Simulations with TRACE are reported which demonstrate that the level of this activation is affected both by the size of the set of competing word hypotheses (a "prefixing effect") and by the presence of a high-frequency competitor. A cross-modal priming study is described which supports and extends these predictions.