This paper presents an adaptation of Luc Steels’s model of Category Formation and Language Sharing. The simple competitive learning algorithm is proposed as a more general means of creating categories from real-world perception. The model is shown to achieve high levels of coherence and to be very robust when two distinct populations are mixed together, with both populations learning each other’s words.