Multi-Dimensional Analysis of Czech

Version 1.1
Cvrček, Václav, 2018, "Multi-Dimensional Analysis of Czech", https://doi.org/10.18710/QAJKZW, DataverseNO, V1, UNF:6:5rqhrfGF8iJspOAQER3OCA== [fileUNF]
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Description

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.

(2018-10-12)
Subject Arts and Humanities
Keyword multi-dimensional analysis, register variation, factor analysis, corpus, Czech
Related Publication Cvrček, V., Komrsková, Z., Lukeš, D., Poukarová, P., Řehořková, A., & Zasina, A. J. (2018). From extra- to intratextual characteristics: Charting the space of variation in Czech through MDA. Corpus Linguistics and Linguistic Theory. doi: 10.1515/cllt-2018-0020
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00_README.docx
MS Word - 48.1 KB
Published Oct 30, 2018
26 Downloads
MD5: 4b01482c643e34dc80b32e200a8c74e3
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00_README.pdf
00_README.pdf
Adobe PDF - 612.3 KB
Published Oct 30, 2018
35 Downloads
MD5: 0ac6cbd2495d939cc50087a6334c526e
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01_2017-12-05.csv
Tabular Data - 7.1 MB
Published Oct 30, 2018
42 Downloads
143 Variables, 3428 Observations UNF:6:5rqhrfGF8iJspOAQER3OCA==
Values of linguistic features in individual text chunks. Each row of the table corresponds to a text chunk in the Koditex corpus. Columns represent linguistic features, and additionally text chunk ID, classification metadata (MODE, DIVISION, SUPERCLASS, CLASS) and length (_LEN). The abbreviations for the classification categories (= values in the MODE, DIVISION, SUPERCLASS and CLASS columns) and linguistic feature names (= remaining column names) are explained in 00_README.pdf.
Preview "01_2017-12-05.csv"
02_factor_analysis.R
R Syntax - 1007 B
Published Oct 30, 2018
32 Downloads
MD5: 4f670b765505156dc3b9cfd53b7d397d
R code for performing factor analysis on the supplied data set.
Preview "02_factor_analysis.R"
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