10.18710/PGDWXC
Cvrček, Václav
Václav
Cvrček
https://orcid.org/0000-0003-3977-2393
Czech National Corpus
Czech word and MWE lists
DataverseNO
2020
Arts and Humanities
multi-dimensional analysis
lexicon
Czech
word list
Czech National Corpus
The Tromsø Repository of Language and Linguistics (TROLLing)
The
Tromsø Repository of Language and Linguistics (TROLLing)
Lukeš, David
David
Lukeš
Czech National Corpus
Cvrček, Václav
Václav
Cvrček
Komrsková, Zuzana
Zuzana
Komrsková
Lukeš, David
David
Lukeš
Poukarová, Petra
Petra
Poukarová
Řehořková, Anna
Anna
Řehořková
Zasina, Adrian Jan
Adrian Jan
Zasina
2020-04-06
2020-04-09
2023-09-28
corpus data
10.1007/S10579-020-09487-4
10.1515/CLLT-2018-0020
10.18710/PGDWXC/LQYPHP
10.18710/PGDWXC/NHZH8K
10.18710/PGDWXC/HBSYAA
10.18710/PGDWXC/AQYZYI
10.18710/PGDWXC/4OBJEG
10.18710/PGDWXC/SOGZA7
10.18710/PGDWXC/CPWC3D
10.18710/PGDWXC/OM7Z7G
10.18710/PGDWXC/0IKRV6
10.18710/PGDWXC/HBH8IP
10.18710/PGDWXC/RJMBJK
10.18710/PGDWXC/QRG5HO
10.18710/PGDWXC/WEWH0J
10.18710/PGDWXC/UIOVCF
10.18710/PGDWXC/2L0WCX
10.18710/PGDWXC/ZP0VNT
10.18710/PGDWXC/V3AFIK
10.18710/PGDWXC/VQB3P5
10.18710/PGDWXC/OIBHQD
10.18710/PGDWXC/0BHZIA
10.18710/PGDWXC/6LSQ66
10.18710/PGDWXC/TVCY3D
10.18710/PGDWXC/RCWQIB
10.18710/PGDWXC/LMBA5O
10.18710/PGDWXC/6IZENY
10.18710/PGDWXC/QFGZQY
10.18710/PGDWXC/EMPVKB
10.18710/PGDWXC/U7CUYJ
10.18710/PGDWXC/KRPYZS
10.18710/PGDWXC/6GFUUT
10.18710/PGDWXC/VLMXD3
661
6891
39474
1058
1591
774
389
1268
1441
678
10252
2310
13261
203
376
20048
4166
613
18675
6453
3611
314
1261
2002
9758
1595
797
8296
663
415505
34412
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application/pdf
application/vnd.openxmlformats-officedocument.wordprocessingml.document
1.1
Creative Commons CC0 1.0 Universal Public Domain Dedication.
This post contains word and MWE (multi-word expression) lists used for the operationalization of some of the linguistic features in the multi-dimensional analysis (MDA) of Czech project carried out at the Czech National Corpus. The MDA procedure requires identifying and operationalizing linguistic features relevant for register variation in the language under scrutiny. In the Czech MDA project, some of these features were operationalized by compiling lists of words and multi-word expressions, which can then be matched against a text to identify occurrences. Compiling such a list can be tedious and error prone work, which is why we provide ours as a resource for other linguists either to adopt wholesale or at least use as a starting point to build on top of.
Czech Republic
Prague
European Regional Development Fund
CZ.02.1.01/0.0/0.0/16_013/0001758