Search Results for author: Michal Ziv-Ukelson

Found 2 papers, 0 papers with code

Learning of Structurally Unambiguous Probabilistic Grammars

no code implementations15 Nov 2020 Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson

We show that the learned CMTA can be converted into a probabilistic grammar, thus providing a complete algorithm for learning a structurally unambiguous probabilistic context free grammar (both the grammar topology and the probabilistic weights) using structured membership queries and structured equivalence queries.

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