Cross-entropy based distances between speakers
A distance matrix for the conversations of 165 speakers in the
Spoken Dutch Corpus. Metadata on the speakers are available in
a separate dataset, dutchSpeakersDistMeta.
data(dutchSpeakersDist)
A data frame for a 165 by 165 matrix of between-speaker differences.
http://lands.let.kun.nl/cgn/ data collected and analyzed in collaboration with Patrick Juola
Juola, P. (2003) The time course of language change, Computers and the Humanities, 37, 77-96.
Juola, P. and Baayen, R. H. (2005) A Controlled-corpus Experiment in Authorship Identification by Cross-entropy, Literary and Linguistic Computing, 20, 59-67.
## Not run:
data(dutchSpeakersDist)
dutchSpeakersDist.d = as.dist(dutchSpeakersDist)
dutchSpeakersDist.mds = cmdscale(dutchSpeakersDist.d, k = 3)
data(dutchSpeakersDistMeta)
dat = data.frame(dutchSpeakersDist.mds,
Sex = dutchSpeakersDistMeta$Sex,
Year = dutchSpeakersDistMeta$AgeYear,
EduLevel = dutchSpeakersDistMeta$EduLevel)
dat = dat[!is.na(dat$Year),]
par(mfrow=c(1,2))
plot(dat$Year, dat$X1, xlab="year of birth",
ylab = "dimension 1", type = "p")
lines(lowess(dat$Year, dat$X1))
boxplot(dat$X3 ~ dat$Sex, ylab = "dimension 3")
par(mfrow=c(1,1))
cor.test(dat$X1, dat$Year, method="sp")
t.test(dat$X3~dat$Sex)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.