| dc.contributor.author |
Suchomel, Vít |
| dc.date.accessioned |
2022-09-15T14:18:30Z |
| dc.date.available |
2022-09-15T14:18:30Z |
| dc.date.issued |
2018-12-07 |
| dc.identifier.citation |
Suchomel, Vít. csTenTen17, a Recent Czech Web Corpus. In Recent Advances in Slavonic Natural Language Processing, pp. 111–123. 2018. |
| dc.identifier.uri |
http://hdl.handle.net/11234/1-4835 |
| dc.description |
The Czech Web Corpus 2017 (csTenTen17) is a Czech corpus made up of texts collected from the Internet, mostly from the Czech national top level domain ".cz". The data was crawled by web crawler SpiderLing (https://corpus.tools/wiki/SpiderLing).
The data was cleaned by removing boilerplate (using https://corpus.tools/wiki/Justext), removing near-duplicate paragraphs (by https://corpus.tools/wiki/Onion) and discarding paragraphs not in the target language.
The corpus was POS annotated by morphological analyser Majka using this POS tagset: https://www.sketchengine.eu/tagset-reference-for-czech/.
Text sources: General web, Wikipedia.
Time span of crawling: May, October and November 2017, October and November 2016, October and November 2015. The Czech Wikipedia part was downloaded in November 2017.
Data format: Plain text, vertical (one token per line), gzip compressed. There are the following structures in the vertical: Documents (<doc/>, usually corresponding to web pages), paragraphs (<p/>), sentences (<s/>) and word join markers (<g/>, a "glue" tag indicating that there was no space between the surrounding tokens in the original text). Document metadata: src (the source of the data), title (the title of the web page), url (the URL of the document), crawl_date (the date of downloading the document). Paragraph metadata: heading ("1" if the paragraph is a heading, usually <h1> to <h6> elements in the original HTML data). Block elements in the case of an HTML source or double blank lines in the case of other source formats were used as paragraph separators. An internal heuristic tool was used to mark sentence breaks. The tab-separated positional attributes are: word form, morphological annotation, lem-POS (the base form of the word, i.e. the lemma, with a part of speech suffix) and gender respecting lemma (nouns and adjectives only).
Please cite the following paper when using the corpus for your research: Suchomel, Vít. csTenTen17, a Recent Czech Web Corpus. In Recent Advances in Slavonic Natural Language Processing, pp. 111–123. 2018. (https://nlp.fi.muni.cz/raslan/raslan18.pdf#page=119) |
| dc.language.iso |
ces |
| dc.publisher |
Masaryk University, NLP Centre |
| dc.publisher |
Lexical Computing CZ s.r.o. |
| dc.relation.isreferencedby |
https://nlp.fi.muni.cz/raslan/raslan18.pdf#page=119 |
| dc.rights |
NLP Centre Web Corpus License |
| dc.rights.uri |
https://lindat.mff.cuni.cz/repository/xmlui/page/license-NLPC-WeC |
| dc.source.uri |
https://nlp.fi.muni.cz/projects/cstenten/ |
| dc.subject |
Web corpus |
| dc.title |
Czech Web Corpus 2017 (csTenTen17) |
| dc.type |
corpus |
| metashare.ResourceInfo#ContentInfo.mediaType |
text |
| dc.rights.label |
ACA |
| has.files |
yes |
| branding |
LINDAT / CLARIAH-CZ |
| contact.person |
Vít Suchomel xsuchom2@fi.muni.cz Natural Language Processing Centre, Masaryk University |
| contact.person |
Pavel Rychlý pary@fi.muni.cz Natural Language Processing Centre, Masaryk University |
| contact.person |
Miloš Jakubíček milos.jakubicek@sketchengine.eu Lexical Computing CZ s.r.o. |
| sponsor |
Ministerstvo školství, mládeže a tělovýchovy České republiky LM2018101 LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy nationalFunds |
| size.info |
12500000000 tokens |
| files.size |
91838674037 |
| files.count |
1 |
