Regular Approximation of Weighted Linear Context-Free Tree Languages
Abstract
We show how to train a weighted regular tree grammar such that it best approximates a weighted linear context-free tree grammar concerning the Kullback–Leibler divergence between both grammars. Furthermore, we construct a regular tree grammar that approximates the tree language induced by a context-free tree grammar.
This work is an extension of [6].
Communicated by Yo-Sub Han and Kai Salomaa