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Dependency Trees and the Strong Generative Capacity of CCG
Department of Computational Linguistics, Saarland University, Saarbrücken, Germany.
Uppsala universitet, Institutionen för lingvistik och filologi. (Datorlingvistik)ORCID iD: 0000-0002-2492-9872
2009 (English)In: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics, Stroudsburg, PA, USA: Association for Computational Linguistics, 2009, 460-468 p.Conference paper, Published paper (Refereed)
Abstract [en]

We propose a novel algorithm for extracting dependencies from CCG derivations. Unlike earlier proposals, our dependency structures are always tree-shaped. We then use these dependency trees to compare the strong generative capacities of CCG and TAG and obtain surprising results: Although both formalisms generate the same string languages, their strong generative capacities are equivalent if we ignore word order, and incomparable if we take it into account.

Place, publisher, year, edition, pages
Stroudsburg, PA, USA: Association for Computational Linguistics, 2009. 460-468 p.
Series
Association for Computational Linguistics. European Chapter (EACL). Proceedings of the Conference, ISSN 1525-2450
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:liu:diva-100290OAI: oai:DiVA.org:liu-100290DiVA: diva2:661459
Conference
Twelfth Conference of the European Chapter of the Association for Computational Linguistics (EACL) Athens, Greece, 30 mars-3 April 2009
Available from: 2009-04-06 Created: 2013-11-04 Last updated: 2014-10-08Bibliographically approved

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Kuhlmann, Marco

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
  • rtf