Here you can find the supplementary materials document. We also provide information for readers interested in reproducibility (see below for instructions).
> Full list of contents:
**Github site bilingual_wordseg**: https://github.com/laiafr/SegCatSpa
- Corpora/cha: Catalan, Spanish and English corpora used in this project extracted from the CHILDES database.
- Analysis_Pipeline: Scripts and recipes to prepare the data and run the different segmenting algorithms. Please refer to the Readme for instructions.
**OSF Storage**
- wordseg-biling.pdf: Pre-print version of the manuscript
- supmat.pdf: Document with further descriptions and figures of the results.
- wordseg-biling.Rmd: File that can be used to regenerate the main manuscript. Ignore unless interested in reproducing the analyses, in which case please look for the "Information for reproducing analyses" section below.
- supmat.Rmd: File that can be used to regenerate the supplementary materials. Ignore unless interested in reproducing the analyses, in which case please look for the "Information for reproducing analyses" section below.
- algocomp.bib: Contains the latex bibliography needed to reproduce the main paper and supplementary materials. Ignore unless interested in reproducing the analyses, in which case please look for the "Information for reproducing analyses" section below.
- allres.txt: segmentation results of the different algorithms and corpora
> Information for reproducing analyses:
Some readers may want to check our materials for reproducibility. To regenerate the reports above, you will need RStudio. For further information on using Rmd for transparent (knittable) analyses, see [Mike Frank & Chris Hartgerink's tutorial](https://libscie.github.io/rmarkdown-workshop/handout.html).
Create a folder called reports (or whatever you'd like to call it). Download the .Rmd file you want to reproduce and put it into that folder (wordseg-biling.Rmd for the manuscript and/or supmat.Rmd)
Add algocomp.bib and segmentation results - allres.txt in the same folder as the .Rmd
Double click on the .Rmd file to launch RStudio with the correct working directory (or if RStudio is already running, change working directory into reports/).
Click on the "knit" button near the top of the RStudio window.
If anything fails, the most likely issue will be that you are missing a library. This is easily fixed: In the commands section (near the bottom of the RStudio window), type install.package("LIBRARYNAME")
