Original data for a general-purpose multi-dimensional analysis model of
register variation in Czech.
This post contains a CSV data set of 137 linguistic features measured on
3428 Czech text chunks, and an R script which performs a factor analysis
on this data set. The results of this factor analysis were used as a
basis for an 8-dimensional model of register variation in Czech (see
Related Publications), following the methodology introduced by Douglas
Biber (see e.g. his 1988 seminal work
Variation Across Speech and Writing
for details on the methodology, or his 2014 article
“Using multi-dimensional analysis to explore cross-linguistic universals
of register variation”
for a review of MDA results across a variety of languages).
The data is derived from the
Koditex corpus
,
which aims to be as diversified as possible, covering various forms of
spoken and written (both print and on-line) Czech. In compiling this
corpus, the purpose was to provide a solid empirical basis for a
comprehensive general-purpose model of register variation in Czech.
Apart from this data set and related publications, additional
resources pertaining to the project are available via the
czcorpus/mda
GitHub repository.
R: A Language and Environment for Statistical Computing, 3.4.3
psych: Procedures for Personality and Psychological Research (R package), 1.7.8
