An encoding algorithm uses empirically determined confusion matrices to activate units in an alphabetum and a lexicon to predict performance of word, orthographically regular nonword, or irregular nonword recognition. Performance is enhanced when decisions are based on lexical information which constrains test letter identity. Word prediction capabilities of the model are discussed. (Author/CM)