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Grammar Approximation by Representative Sublanguage: A New Model for Language Learning

Rambow, Owen C.; Muresan, Smarandan

We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic assumptions about natural language syntax. We show that the search space for grammar induction is a complete gram- mar lattice, which guarantees the uniqueness of the learned grammar.

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More About This Work

Academic Units
Computer Science
Publisher
Proceedings of ACL
Published Here
July 22, 2013