Nothing
## ----setup, include = FALSE----------------------------------------------
library(qlcData)
## ---- eval = FALSE-------------------------------------------------------
# # install devtools from CRAN
# install.packages("devtools")
# # install qlcData from github using devtools
# devtools::install_github("cysouw/qlcData", build_vignettes = TRUE)
# # load qlcTokenize package
# library(qlcData)
# # access help files of the package
# help(qlcData)
# # access this vignette
# vignette("orthography_processing")
## ------------------------------------------------------------------------
test <- "hállo hállо"
## ---- eval = FALSE-------------------------------------------------------
# write.profile(test)
## ----echo=FALSE, results='asis'------------------------------------------
# some example string
knitr::kable(write.profile(test))
## ------------------------------------------------------------------------
# the differenec between various "o" characters is mostly invisible on screen
"o" == "o" # these are the same "o" characters, so this statement in true
"o" == "о" # this is one latin and and cyrillic "o" character, so this statement is false
## ------------------------------------------------------------------------
test <- c("this thing", "is", "a", "vector", "with", "many", "strings")
## ---- eval = FALSE-------------------------------------------------------
# write.profile(test)
## ----echo=FALSE, results='asis'------------------------------------------
# some example string
knitr::kable(write.profile(test))
## ------------------------------------------------------------------------
tokenize(test)
## ---- eval = FALSE-------------------------------------------------------
# dir.create("~/Desktop/tokenize")
# setwd("~/Desktop/tokenize")
# tokenize(test, file.out = "test_profile.txt")
## ---- echo = FALSE, results='asis'---------------------------------------
test_profile.txt <- as.data.frame(rbind(as.matrix(tokenize(test)$profile),c("th", ""),c("ng", "")))
knitr::kable(test_profile.txt)
## ---- eval = FALSE-------------------------------------------------------
# tokenize(test, profile = "test_profile.txt")
#
# # with overwriting of the existing profile:
# # tokenize(test, profile = "test_profile.txt", file.out = "test_profile.txt")
#
# # note that you can abbreviate this in R:
# # tokenize_old(test, p = "test_profile.txt", f = "test_profile.txt")
## ---- echo = FALSE-------------------------------------------------------
tokenize(test, profile = test_profile.txt)
## ---- eval = FALSE-------------------------------------------------------
# tokenize(c("think", "thin", "both"), profile = "test_profile.txt")
## ---- echo = FALSE-------------------------------------------------------
tokenize(c("think", "thin", "both"), profile = test_profile.txt)
## ---- echo = FALSE, results='asis'---------------------------------------
Grapheme <- c("c", "c", "n", "s", "a", "i")
IPA <- c("k", "tʃ", "n", "s", "a", "i")
Right <- c("", "[ie]", "", "", "", "")
italian <- cbind(Grapheme, Right, IPA)
knitr::kable(italian)
## ------------------------------------------------------------------------
tokenize(c("casa", "cina"), profile = italian, transliterate = "IPA", regex = TRUE)$strings
## ---- echo = FALSE, results='asis'---------------------------------------
Grapheme <- c("c", "c", "n", "s", "a", "i", "e")
IPA <- c("k", "tʃ", "n", "s", "a", "i", "e")
Right <- c("", "frontV", "", "", "", "","")
Class <- c("","","","","","frontV","frontV")
italian <- cbind(Grapheme, Right, Class, IPA)
knitr::kable(italian)
## ------------------------------------------------------------------------
tokenize(c("casa", "cina"), profile = italian, transliterate = "IPA", regex = TRUE)$strings
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