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dc.date.accessioned2014-01-08T15:48:44Z
dc.date.available2014-01-08T15:48:44Z
dc.date.created2013-09-27T15:42:23Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10852/37952
dc.description.abstractThis demonstration presents a first operable pilot of the Language Analysis Portal (LAP), an ongoing project within the Norwegian CLARINO initiative that aims at providing easy access to Language Technology (LT) tools running on a powerful High-Performance Computing (HPC) cluster. The system is built on top of the Galaxy framework, giving users an on-line platform where they can design experiments using an array of processors. These processors can be combined into complex workflows using a visual editor. The current implementation functions as a testbed for further development, hosting a limited collection of tools addressing common use-cases in the LT-realm; the long-term goal for LAP is to reach beyond the field and be an enabling platform for LT-powered research in the humanities and social sciences.<br><br> Emanuele Lapponi, Erik Velldal, Nikolay A. Vazov, Stephan Oepen (2013). HPC-ready Language Analysis for Human Beings, Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013), May 22–24, 2013, Oslo University, Norway. NEALT Proceedings Series 16 http://www.ep.liu.se/ecp_article/index.en.aspx?issue=085;article=042
dc.languageEN
dc.titleHPC-ready Language Analysis for Human Beings
dc.typeChapter
dc.creator.authorLapponi, Emanuele
dc.creator.authorVelldal, Erik
dc.creator.authorVasov, Nikolay
dc.creator.authorOepen, Stephan
cristin.unitcode185,15,5,56
cristin.unitnameForskningsgruppen for språkteknologi
cristin.ispublishedtrue
cristin.fulltextpostprint
dc.identifier.cristin1053194
dc.identifier.startpage447
dc.identifier.endpage452
dc.identifier.urnURN:NBN:no-40246
dc.type.documentBokkapittel
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/37952/1/submission91908.pdf
dc.type.versionAcceptedVersion
cristin.btitleProceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)


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