Describes a connectionist model, using a simple recurrent network trained on a phoneme prediction task, that accounts for the child's ability to identify word boundaries. The model shows that aspects of linguistic structure that are not overtly marked in the input can be derived by efficiently combining multiple probabilistic cues. (Author/MSE)