Tools to create, modify and manage 'CWB' Corpora
c(person("Andreas", "Blaette", role = c("aut", "cre"), email = "andreas.blaette@uni-due.de"),
person("Christoph", "Leonhardt", role = "ctb", email = "christoph.leonhardt@uni-due.de")
)
The 'Corpus Workbench' ('CWB', <http://cwb.sourceforge.net/>) offers a classic and mature
approach for working with large, linguistically and structurally annotated corpora. The 'CWB'
is memory efficient and its design makes running queries fast (Evert and Hardie 2011,
<http://www.stefan-evert.de/PUB/EvertHardie2011.pdf>). The 'cwbtools' package offers
pure R tools to create indexed corpus files as well as high-level wrappers for the original C
implementation of CWB as exposed by the 'RcppCWB' package
<https://CRAN.R-project.org/package=RcppCWB>. Additional functionality to add and
modify annotations of corpora from within R makes working with CWB indexed corpora
much more flexible and convenient. The 'cwbtools' package in combination with the R packages
'RcppCWB' (<https://CRAN.R-project.org/package=RcppCWB>) and 'polmineR'
(<https://CRAN.R-project.org/package=polmineR>) offers a leightweight infrastructure
to support the combination of quantitative and qualitative approaches for working
with textual data.
data.table, R6, xml2, stringi, curl, RcppCWB (>= 0.2.8),
pbapply, methods
tm (>= 0.7.3), knitr, tokenizers (>= 0.2.1), tidytext,
SnowballC, janeaustenr, devtools, polmineR, NLP
'cwbtools.R' 'pkg.R' 'utils.R' 'p_attribute.R' 's_attribute.R'
'registry_file.R' 'CorpusData.R' 'corpus.R' 'cwb.R' 'ner.R'

The 'Corpus Workbench' ('CWB', <http://cwb.sourceforge.net/>) offers a classic and mature
approach for working with large, linguistically and structurally annotated corpora. The 'CWB'
is memory efficient and its design makes running queries fast (Evert and Hardie 2011,
<http://www.stefan-evert.de/PUB/EvertHardie2011.pdf>). The 'cwbtools' package offers
pure R tools to create indexed corpus files as well as high-level wrappers for the original C
implementation of CWB as exposed by the 'RcppCWB' package
<https://CRAN.R-project.org/package=RcppCWB>. Additional functionality to add and
modify annotations of corpora from within R makes working with CWB indexed corpora
much more flexible and convenient. The 'cwbtools' package in combination with the R packages
'RcppCWB' (<https://CRAN.R-project.org/package=RcppCWB>) and 'polmineR'
(<https://CRAN.R-project.org/package=polmineR>) offers a lightweight infrastructure
to support the combination of quantitative and qualitative approaches for working
with textual data.