commit | 9b9b200cf33e9bbda3a6f466bf588ebcae9ba073 | [log] [tgz] |
---|---|---|
author | Rainer Perkuhn <perkuhn@ids-mannheim.de> | Tue Dec 19 10:56:43 2023 +0100 |
committer | Rainer Perkuhn <perkuhn@ids-mannheim.de> | Tue Dec 19 10:56:43 2023 +0100 |
tree | f3288b6a03df5dd4f50f1c47c0ceb259d134ac08 | |
parent | 91313853fcfe52007f4d919dd372ba9590adcc45 [diff] |
Changed function for title-like labels to allow NE/NA (with big letter on not first position), substituted ä for ae for Ernährung
Prototype of a corpus composition analyzer for KorAP
docker build -f Dockerfile -t korap/corpuscomposition:snapshot .
Or get the docker image from GitLab:
curl -L 'https://gitlab.ids-mannheim.de/KorAP/CorpusCompositionAnalyzer/-/jobs/artifacts/master/raw/corpuscomposition-snapshot.xz?job=build-docker-image' | unxz | docker load
docker run --rm -p 3838:3838 korap/corpuscomposition:snapshot
Then open http://localhost:3838/ for the default corpora or http://localhost:3838/?cq=<vc-definition-1>;<vc-definition-2>;<vc-definition-n>
for comparing specific corpora.
Run shiny/app.R
in RStudio or from the command line:
R -e "shiny::runApp('shiny/app.R')"