dc.creator |
Olsen, Sussi |
dc.creator |
Braasch, Anna |
dc.creator |
Hansen, Dorte Haltrup |
dc.creator |
Jakob, Halskov |
dc.date.accessioned |
2018-04-24T14:40:28Z |
dc.date.available |
2018-04-24T14:40:28Z |
dc.date.issued |
2011 |
dc.identifier.uri |
http://hdl.handle.net/20.500.12115/9 |
dc.description |
Texts in the Construction Domain come from Statens Byggeforskningsinstitut, Erhvervs- og byggestyrelsen and Murerfagets Oplysningsråd and have been collected in the DK-CLARIN project, WP2.2, 2008 - 2011.
The corpus consists of 577,392 words in 35 files.
Communicative setting/Number of files: expert->expert (18) expert->advanced (6) expert->basic (11).
All texts are in XML TEIP5 format (TEIP5DKCLARIN-format), with tokenisation, sentence and paragraph segmentation, pos-tagging, lemmatisation and termhood annotation placed in separate text external spangroups.
"DK-CLARIN LSP Corpus - Construction domain" is a part of the Danish DK-CLARIN LSP corpus consisting of seven sub-corpora from following subject domains: Agriculture, Construction, Economics, Environment, Health, IT and Nanotechnology. |
dc.language.iso |
dan |
dc.publisher |
Centre for Language Technology, NorS, University of Copenhagen |
dc.publisher |
The Danish Language Council |
dc.rights |
CLARIN-ACA-NC |
dc.rights.uri |
https://kitwiki.csc.fi/twiki/bin/view/FinCLARIN/ClarinEulaAca?ID=1&AFFIL=EDU&BY=1&NC=1&NORED=1 |
dc.rights.label |
ACA |
dc.subject |
Construction |
dc.title |
DK-CLARIN LSP Corpus - Construction domain |
dc.type |
corpus |
metashare.ResourceInfo#ContentInfo.mediaType |
text |
has.files |
yes |
branding |
CLARIN-DK |
contact.person |
Administrator; CLARIN-DK; info@clarin.dk; Centre for Language Technology, NorS, University of Copenhagen |
sponsor |
n/a; n/a; DK-CLARIN; nationalFunds; |
size.info |
35; files |
size.info |
577,392; tokens |
files.size |
24852076 |
files.count |
11 |
annotationInfo.annotationType |
tokenizer |
annotationInfo.annotationType |
lemmatization |
annotationInfo.annotationType |
POS-tagging |
annotationInfo.annotationType |
sentence and paragraph segmentation |
annotationInfo.annotationType |
termhood scoring |