A compilation of various articles related to the COVID-19 pandemic
sv-covid-19 is a collection of Swedish news texts, scientific and
popular science articles and articles from certain blogs and social
media wuch as Flashback and Twitter, which started to be published at
the beginning of the coronavirus pandemic (early 2020). The latest
verision of the corpus consists of approximately eight million words
and 9000 articles. The corpus contains various text types and texts
with different stylistic levels. The texts have been marked up with
word class tags, morphological analysis and lemma, as well as some
structural and functional information, such as author names.
References
-
Dimitrios Kokkinakis
(2021):
Insights on a Swedish Covid-19 corpus, in
CLARIN Annual Conference (Virtual Event). 27 – 29 September 2021. Monica Monachini, Maria Eskevich (red.). s. 31-34
| File | Size | Modified | Licence |
|---|---|---|---|
|
sv-covid-19.xml.bz2
this file contains a scrambled version of the corpus
(XML)
|
200.6 MB | 2023-05-29 |
CC BY 4.0
attribution
|
|
stats_sv-covid-19.csv
Word statistics:
(CSV)
|
12.47 MB | 2023-05-29 |
CC BY 4.0
attribution
|
