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In this paper, we propose a novel approach for learning context free grammars (CFGs) from positive and negative samples by solving a Boolean satisfiability problem (SAT). We encode the set of samples, together with limits on the sizes of rule sets to be synthesized as a Boolean expression. An assignment satisfying the Boolean expression contains a minimal set of rules that derives all positive samples...
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