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Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language

Bibliographic Data

ID12156366
AuthorsAlexander Fraser (0009-0000-2548-4839, Institute for NLP, University of Stuttgart, corresponding author), Helmut Schmid (0000-0001-8003-7708, Institute for NLP, University of Stuttgart), Richárd Farkas (0000-0002-0053-8092, Institute for NLP, University of Stuttgart), Renjing Wang (0000-0002-2978-7324, Institute for NLP, University of Stuttgart), Hinrich Schütze (Institute for NLP, University of Stuttgart)
Year2012
Volume39
Issue1
Pages57-85
Publication date2012-11-13
Open AccessYes
TypeARTICLE
VenueComputational Linguistics (JOURNAL)
Journal identifiersISSN: 0891-2017 • E-ISSN: 1530-9312
PublisherAssociation for Computational Linguistics (PUBLISHER • US)
DOI10.1162/coli_a_00135
OpenAlexW2002685786
LanguageEN
References cited33

We study constituent parsing of German, a morphologically rich and less-configurational language. We use a probabilistic context-free grammar treebank grammar that has been adapted to the morphologically rich properties of German by markovization and special features added to its productions. We evaluate the impact of adding lexical knowledge. Then we examine both monolingual and bilingual approaches to parse reranking. Our reranking parser is the new state of the art in constituency parsing of the TIGER Treebank. We perform an analysis, concluding with lessons learned, which apply to parsing other morphologically rich and less-configurational languages

Context (archaeology · German · Grammar · Linguistics · Natural language processing · Parser combinator · Parsing · Top-down parsing · Treebank · Computer Science · History · linguistics and terminology studies · Natural Language Processing Techniques · Topic Modeling · Artificial Intelligence

  • Discriminative Reranking for Natural Language Parsing

    Open Access•Michael J Collins, Michael P Collins et al.•Computational Linguistics•2005

Highly citedNo

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