Description Format Source Examples
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 NA
.
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.
1 2 3 4 5 6 7 8 9 10 | 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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