A tree systems inference algorithm for an iconic environment

Abstract

A tree learning algorithm that uses tree systems inference techniques is presented. The algorithm observes similarity between subtrees and embedding tree structures and affects grammatical expansions that enlarge the input sample set. An application to a set of icons from the SIL-ICON Compiler v.3 is described. The algorithm adds learning capabilities to the compiler so the icon dictionary and the grammar are incrementally expanded.<>