{talkr} is an R package that offers a set of convenience functions for quality control, visualisation and analysis of conversational data. Most notably it provides a range of plotting functions that play well with ggplot and the tidyverse.
This package is under development, and not ready for use. Interact with us in the issues if you have any questions or suggestions.
{talkr} offers a set of convenience functions for quality control, visualisation and analysis of conversational data. It provides support for at least two common needs of people working with conversational corpora: (1) quality control by offering rapid insights into the nature, timing, and quality of time-aligned annotations in a conversational corpus; and (2) compelling visualisations by offering a range of plotting functions that play well with ggplot and the tidyverse.
Note: {talkr} plays well with its companion python package scikit-talk, which is focused more on processing conversational data and readying it for downstream analysis.
You can install the development version of talkr from GitHub with:
# install.packages("devtools")
devtools::install_github("elpaco-escience/talkr", build_vignettes = TRUE)
The main workflow for talkr is described in the workflow vignette.
You can access the vignette by running:
vignette("workflow", package = "talkr")
Towards next-generation scientific computing tools for diversity-aware language science and technology
Scikit-talk is an open-source toolkit for processing collections of real-world conversational speech in Python. The toolkit aims to facilitate the exploration of large collections of transcriptions and annotations of conversational interaction.