Stochastic inference of regular tree languages
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We generalize a former algorithm for regular language identification from stochastic samples to the case of tree languages or, equivalently, string languages where structural information is available. We also describe a method to compute efficiently the relative entropy between the target grammar and the inferred one, useful for the evaluation of the inference.
KeywordsRelative Entropy Regular Language Tree Language Stochastic Sample Grammatical Inference
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