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Special Issue: 21st International Conference on Implementation and Application of Automata (CIAA 2016)No Access

Regular Approximation of Weighted Linear Context-Free Tree Languages

    https://doi.org/10.1142/S0129054117400056Cited by:0 (Source: Crossref)

    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