The glossr package gives you tools to include interlinear glosses in your R Markdown file. If you are writing a linguistics paper and you want some interlinear glosses, this is for you!
Maybe you already use gb4e or expex and
you’re happy with your PDF files, good for you! But maybe you want to
spice things up, have your examples in one file and read a dataframe to
generate them on demand, instead of typing and
mistyping and having your examples all over the place. If
that’s the case, glossr is for you!
Or maybe you want HTML output to work? If you use gb4e
or expex, your examples will disappear from the HTML
output! Here glossr can most definitely help. It even offers a helper
function for cross-references that work in both formats! In fact, I
included two different HTML outputs: one using leipzig.js and a
sadder one that might be more accessible, just less
pro-looking.
If you also want Word output, glossr can also take care of it, generating invisible tables for the right alignment.
But please, don’t take my word for it —you can check the PDF, HTML
and MS Word outputs of vignette("glossr_how") stored
in the repository.
You can install the development version of glossr from GitHub with:
# install.packages("devtools")
devtools::install_github("montesmariana/glossr")This is a basic example; check vignette("glossr_how")
for more examples and their output.
library(glossr)
use_glossr()
my_gloss <- as_gloss(
"她 哇的一聲 大 哭起來，",
"tā wā=de-yì-shēng dà kū-qǐlái,",
"TSG waa.IDEO-LINK-one-sound big cry-inch",
translation = "Waaaaa, she began to wail.",
label = "my-label",
source = "ASBC (nº 100622)"
)This package is possible thanks to the existence of other packages it
has built on, mostly {rmarkdown}, {htmltools},
{officedown} and {flextable}, as well as the expex
package for PDF output and leipzig.js for the
HTML output. The HexSticker was designed in Krita and rendered with
{hexSticker}.
I would also like to acknowledge the input and encouragement of Giulia Mazzola and Thomas Van Hoey, who shared ideas and tested the code as it evolved.
Last but not least, I’d like to acknowledge the source of the
examples in the small “dataset” provided by this package, taken from Maria
Koptjevskaja-Tamm’s The Linguistics of Temperature (see
vignette("glossr")).
Bring them on to the issues section of the repository!