Exploring the cohort model of spoken word recognition

Abstract

Predictions derived from the Cohort Model of spoken word recognition were tested in four experiments using an auditory lexical decision task. The first experiment produced results that were compatible with the model, in that the point at which a word could be uniquely identified appeared to influence reaction times. The second and third experiments demonstrated that the processing of a nonword phoneme string continues after the point at which there are no possible continuations that would make a word. The number of phonemes following the point of deviation from a word was shown to affect reaction times, as well as the similarity of the nonword to a word. The final experiment demonstrated a frequency effect when high and low frequency words were matched on their point of unique identity. These last three results are not consistent with the Cohort Model and so an alternative account is put forward. According to this account, the first few phonemes are used to activate all words beginning with those phonemes and then these candidates are checked back to the original stimulus. This model provides greater flexibility than the Cohort Model and allows for mispronounced and misperceived words to be correctly recognized.