This data set was a follow-up study to the
COMURE project and was conducted at the Department of Translation, Interpreting and Communication of
Ghent University between 2014 and 2018.
A data frame with 3302 rows and 7 variables.
Variant The linguistic variant used in a set of alternatives (27 levels).
Variable The linguistic variable specifying a set of alternatives (13 levels).
Variety The dichotomization of
Variant into standard and non-standard.
Speaker The role of the speaker in the data (2 levels).
Language The language (and source language) of the data (3 levels).
Language2 The same as
Language but with the observations of level
intra.nl set to
Genre The genre or register of the data (2 levels).
Prieels, L., I. Delaere, K. Plevoets and G. De Sutter (2015) A corpus-based multivariate analysis of linguistic norm-adherence in audiovisual and written translation. Across Languages and Cultures 16 (2), 209–231.
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data(AVT) # The execution of corregp may be slow, due to bootstrapping: avt.crg <- corregp(Variant ~ Speaker * Language * Genre, data = AVT, part = "Variable", b = 3000) avt.crg summary(avt.crg, parm = "b", add_ci = TRUE) screeplot(avt.crg, add_ci = TRUE) anova(avt.crg, nf = 2) avt.col <- ifelse( xtabs(~ Variant + Variety, data = AVT)[, "Standard"] > 0, "blue", "red") plot(avt.crg, x_ell = TRUE, xsub = c("Speaker", "Language", "Genre"), col_btm = avt.col, col_top = "black")
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