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
SWE-CLARIN partner presentation: Natural Language Processing Resources from the Department of Linguistics, Stockholm University
Stockholm University, Faculty of Humanities, Department of Linguistics, Computational Linguistics.ORCID iD: 0000-0002-9447-8544
Stockholm University, Faculty of Humanities, Department of Linguistics, Sign Language.
Stockholm University, Faculty of Humanities, Department of Linguistics, Computational Linguistics.ORCID iD: 0000-0003-2815-395X
Stockholm University, Faculty of Humanities, Department of Linguistics, Computational Linguistics.ORCID iD: 0000-0001-5611-6369
Show others and affiliations
2014 (English)In: The first Swedish national SWE-CLARIN workshop: LT-based e-HSS in Sweden – taking stock and looking ahead / [ed] Lars Borin, 2014Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

The aim of the CLARIN Research Infrastructure and SWE-CLARIN is to facilitate for scholars in the humanities and social sciences to access primary data in the form of natural language, and to provide tools for exploring, annotating and analysing these data. This paper gives an overview of the resources and tools developed at the Department of Linguistics at Stockholm University planned to be made available within the SWE-CLARIN project. The paper also outlines our collaborations with neighbouring areas in the humanities and social sciences where these resources and tools will be put to use.

Place, publisher, year, edition, pages
2014.
Keyword [en]
Natural Language Processing, Corpora, Lexicon, Part-of-speech tagging
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics; Linguistics; Sign Language
Identifiers
URN: urn:nbn:se:su:diva-111663OAI: oai:DiVA.org:su-111663DiVA: diva2:776450
Conference
SLTC 2014, the Fifth Swedish Language Technology Conference, November 13, 2014, Uppsala, Sweden
Funder
Swedish Research Council, VR 2012-16657-97616-52
Available from: 2015-01-07 Created: 2015-01-07 Last updated: 2015-01-07Bibliographically approved

Open Access in DiVA

"SWE-CLARIN partner presentation:.."(162 kB)138 downloads
File information
File name FULLTEXT01.pdfFile size 162 kBChecksum SHA-512
eb675eebc11a7dd827173bc0e293c6d8e00e73a888b05a05f0742310a886955506c6a915df851d34a52122d75b294c0be1f6d1f9c7e0bf8061b135f1f57e1ace
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Nilsson Björkenstam, KristinaBjörkstrand, ThomasGrigonyté, GintaréGustafson-Capková, SofiaMesch, JohannaÖstling, RobertSchönström, KristerWallin, LarsWirén, Mats
By organisation
Computational LinguisticsSign LanguageSwedish as a Second Language for the Deaf
Language Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar
Total: 138 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 647 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