| dc.contributor.author |
Žagar, Aleš |
| dc.contributor.author |
Kavaš, Matic |
| dc.contributor.author |
Robnik-Šikonja, Marko |
| dc.contributor.author |
Erjavec, Tomaž |
| dc.contributor.author |
Fišer, Darja |
| dc.contributor.author |
Ljubešić, Nikola |
| dc.contributor.author |
Ferme, Marko |
| dc.contributor.author |
Borovič, Mladen |
| dc.contributor.author |
Boškovič, Borko |
| dc.contributor.author |
Ojsteršek, Milan |
| dc.contributor.author |
Hrovat, Goran |
| dc.date.accessioned |
2022-02-04T16:50:50Z |
| dc.date.available |
2022-02-04T16:50:50Z |
| dc.date.issued |
2022-02-04 |
| dc.identifier.uri |
http://hdl.handle.net/11356/1448 |
| dc.description |
The KAS corpus of Slovene academic writing consists of almost 65,000 BSc/BA, 16,000 MSc/MA and 1,600 PhD theses (82 thousand texts, 5 million pages or 1,5 billion tokens) written 2000 - 2018 and gathered from the digital libraries of Slovene higher education institutions via the Slovene Open Science portal (http://openscience.si/).
The theses have associated with them significant metadata, while each thesis in the corpus contains its textual body, i.e. without their front and back matter. The body is divided into chapters, then into pages, these into paragraphs, and then into sentences. The sentence tokens are tagged with morphosyntactically descriptions (detailed part-of-speech tags) and the words lemmatised.
As opposed to the previous version 1.0, the KAS corpus of Slovene academic writing 2.0 is cleaner and contains segmentations into chapters. The metadata also contains more information about research fields of each work. Both versions consist of the same number of BSc/BA, MSc/MA, and PhD theses, however, the processing was done from scratch for 2.0, so the number of e.g. pages and tokens is different. Note also that the new version does not contain links to the PNG pictures of individual pages , nor does it contain annotated terms, both present in version 1.0. It is, unlike 1.0, also not mounted on the CLARIN.SI concordancers.
The new version is distributed in the canonical TEI encoding, JSON, and as plain text files. In the TEI format, chapter names are denoted with the <head> tag. Each entry in JSON files have a string ID and a list containing names of chapters as its first element and texts as its second element. Chapters without text are represented as an empty string. The plain text files contain only text bodies without segmentation information.
References:
Žagar, A., Kavaš, M., & Robnik Šikonja, M. (2021). Corpus KAS 2.0: cleaner and with new datasets. In Information Society - IS 2021: Proceedings of the 24th International Multiconference. https://doi.org/10.5281/zenodo.5562228 |
| dc.language.iso |
slv |
| dc.publisher |
Faculty of Electrical Engineering and Computer Science, University of Maribor |
| dc.publisher |
Faculty of Computer and Information Science, University of Ljubljana |
| dc.relation |
info:eu-repo/grantAgreement/EC/H2020/825153 |
| dc.relation.isreferencedby |
https://doi.org/10.5281/zenodo.5562228 |
| dc.relation.replaces |
http://hdl.handle.net/11356/1244 |
| dc.rights |
CLARIN.SI Licence ACA ID-BY-NC-INF-NORED 1.0 |
| dc.rights.uri |
https://clarin.si/repository/xmlui/page/licence-aca-id-by-nc-inf-nored-1.0 |
| dc.rights.label |
ACA |
| dc.source.uri |
https://nl.ijs.si/kas/ |
| dc.subject |
PhD theses |
| dc.subject |
MSc/MA theses |
| dc.subject |
BSc/BA theses |
| dc.subject |
academic writing |
| dc.subject |
TEI |
| dc.title |
Corpus of academic Slovene KAS 2.0 |
| dc.type |
corpus |
| metashare.ResourceInfo#ContentInfo.mediaType |
text |
| has.files |
yes |
| branding |
CLARIN.SI data & tools |
| contact.person |
Aleš Žagar Ales.Zagar@fri.uni-lj.si Faculty of Computer and Information Science |
| sponsor |
Jožef Stefan Institute CLARIN CLARIN.SI nationalFunds |
| sponsor |
Ministry of Culture C3340-20-278001 Development of Slovene in a Digital Environment Other |
| sponsor |
European Union EC/H2020/825153 EMBEDDIA - Cross-Lingual Embeddings for Less-Represented Languages in European News Media euFunds info:eu-repo/grantAgreement/EC/H2020/825153 |
| sponsor |
ARRS (Slovenian Research Agency) J6-2581 Računalniško podprta večjezična analiza novičarskega diskurza s kontekstualnimi besednimi vložitvami nationalFunds |
| size.info |
82308 texts |
| size.info |
4780517 pages |
| size.info |
1496079001 tokens |
| files.count |
4 |
| files.size |
14716737837 |
