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Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars

Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars. Overview. Unambiguity Regularization A novel approach for unsupervised natural language grammar learning Based on the observation that natural language is remarkably unambiguous

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Example Grammar

Example Grammar. Parameter start symbol is S Rule {Satz} S -> NP VP. Rule {NP-Name} NP -> Name. Rule {NP} NP -> Det N. Rule {NP with mod} NP -> Det N PP. Rule {VP intransitiv} VP -> Vi. Rule {VP transitiv} VP -> Vt NP. Rule {VP intransitiv mit PP} VP -> Vi PP.

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328 views • 2 slides

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Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars

Example Grammar