Title: Text Analysis with Emphasis on POS Tagging, Readability and
Description: A set of tools to analyze texts. Includes, amongst others, functions for
automatic language detection, hyphenation, several indices of lexical diversity
(e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch,
SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also
provided, to enable frequency analyses (supports Celex and Leipzig Corpora
Collection file formats) and measures like tf-idf. Note: For full functionality
a local installation of TreeTagger is recommended. It is also recommended to
not load this package directly, but by loading one of the available language
support packages from the 'l10n' repository
<https://undocumeantit.github.io/repos/l10n/>. 'koRpus' also includes a plugin
for the R GUI and IDE RKWard, providing graphical dialogs for its basic
features. The respective R package 'rkward' cannot be installed directly from a
repository, as it is a part of RKWard. To make full use of this feature, please
only available from the project homepage. To ask for help, report bugs, request
features, or discuss the development of the package, please subscribe to the

Title: Text Analysis with Emphasis on POS Tagging, Readability, and

Title: Language Support for 'koRpus' Package: English
Description: Adds support for the English language to the 'koRpus'
package. To ask for help, report bugs, suggest feature
improvements, or discuss the global development of the package,
please consider subscribing to the koRpus-dev mailing list

Description: Adds support for the English language to the 'koRpus' package. To ask for help, report bugs, suggest feature improvements, or discuss the global development of the
package, please consider subscribing to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
Authors@R: c(person(given="Meik", family="Michalke", email="meik.michalke@hhu.de", role=c("aut", "cre")), person(given="Elen", family="Le Foll", role=c("ctb"), comment="BNC

package, please consider subscribing to the koRpus-dev mailing list (<https://korpusml.reaktanz.de>).