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Correct readers for the incremental construction of Millstream configurations by graph transformation
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Department of Computer Science, The University of Western Ontario, London, Canada.
Department of Computer Science, Stellenbosch University, South Africa.
2012 (English)Report (Other academic)
Abstract [en]

Millstream systems have been proposed as a non-hierarchical method for modelling natural language. Millstream congurations represent and connect multiple structural aspects of sentences. We present a method by which the Millstream congurations corresponding to a sentence are constructed. The construction is incremental, that is, it proceeds as the sentence is being read and is complete when the end of the sentence is reached. It is based on graph transformations and a lexicon which associates words with rules for the graph transformations.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2012. , 22 p.
Series
Report / UMINF, ISSN 0348-0542 ; 12.17
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-61336OAI: oai:DiVA.org:umu-61336DiVA: diva2:566842
Available from: 2012-11-14 Created: 2012-11-09 Last updated: 2012-11-14Bibliographically approved

Open Access in DiVA

Correct Readers for the Incremental Construction of Millstream Configurations by Graph Transformation(470 kB)209 downloads
File information
File name FULLTEXT02.pdfFile size 470 kBChecksum SHA-512
1380aec658a1c81934e26a7c9c8b8914c4a969a81bfa66abcda0183285dbbbaaeb45a0678052adada1beda3f8d1f66cb8a8ff72908635dfcafd3c38db0887cd3
Type fulltextMimetype application/pdf

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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