Investigated young children's learning of the correct use of first and second person pronouns, using feed-forward neural networks. The study involved four computer simulations using the cascade-correlation (CC) learning algorithm. Results indicated that the CC networks could produce the correct pronouns without errors if children heard pronouns used by several speakers in the non-addressed speech. (SM)