This report describes a 'learning program' that acquires much of the knowledge required by a parsing system that processes conversations in a 'natural' language akin to ham-radio jargon. The learning program derives information from example sentence taken from transcripts of actual conversations, and uses this knowledge to extend the 'core' augmented transition network (ATN) grammar.
