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Induction, Training, and Parsing Strategies beyond Context-free Grammars

This thesis considers the problem of assigning a sentence its syntactic structure, which may be discontinuous. It proposes a class of models based on probabilistic grammars that are obtained by the automatic refinement of a given grammar. Different strategies for parsing with a refined grammar are developed. The induction, refinement, and application of two types of grammars (linear context-free rewriting systems and hybrid grammars) are evaluated empirically on two German and one Dutch corpus.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:71398
Date03 July 2020
CreatorsGebhardt, Kilian
ContributorsVogler, Heiko, Kuhlmann, Marco, Rudolph, Sebastian, Technische Universität Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relation10.1162/COLI_a_00291, 10.18653/v1/W16-2407

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