umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
  • html
  • text
  • asciidoc
  • rtf
EM-training for probabilistic aligned hypergraph bimorphisms
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Foundations of Language Processing)ORCID iD: 0000-0001-7349-7693
Technische Universität Dresden.
Technische Universität Dresden.
2016 (English)In: Proceedings of the SIGFSM Workshop on Statistical NLP and Weighted Automata, Association for Computational Linguistics , 2016, p. 60-69Conference paper, Published paper (Refereed)
Abstract [en]

We define the concept of probabilistic aligned hypergraph bimorphism. Each such bimorphism consists of a probabilistic regular tree grammar, two hypergraph algebras in which the generated trees are interpreted, and a family of alignments between the two interpretations. It generates a set of bihypergraphs each consisting of two hypergraphs and an alignment between them; for instance, discontinuous phrase structures and non-projective dependency structures are bihypergraphs. We show an EM-training algorithm which takes a corpus of bihypergraphs and an aligned hypergraph bimorphism as input and calculates a probability assignment to the rules of the regular tree grammar such that in the limit the maximum-likelihood of the corpus is approximated.

Place, publisher, year, edition, pages
Association for Computational Linguistics , 2016. p. 60-69
Keywords [en]
EM training, bimorphism, hyperedge replacement, maximum likelihood
National Category
Computer Sciences Language Technology (Computational Linguistics)
Research subject
Computer Science; computational linguistics
Identifiers
URN: urn:nbn:se:umu:diva-121676DOI: 10.18653/v1/W16-2407OAI: oai:DiVA.org:umu-121676DiVA, id: diva2:933575
Conference
Workshop Statistical Natural Language Processing and Weighted Automata, Berlin, Germany, August 12, 2016
Available from: 2016-06-06 Created: 2016-06-06 Last updated: 2019-06-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Drewes, Frank

Search in DiVA

By author/editor
Drewes, Frank
By organisation
Department of Computing Science
Computer SciencesLanguage Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 469 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
  • html
  • text
  • asciidoc
  • rtf