MSTTR

An object of class <code><a rd-options="koRpus:kRp.text-class" href="/link/kRp.text?package=koRpus&version=0.13-8&to=koRpus%3AkRp.text-class" data-mini-rdoc="koRpus:kRp.text-class::kRp.text">kRp.text</a></code> containing the tagged text to be analyzed.

An integer value, defining how many tokens should form one segment.

segment

Further valid options for the main function,
 see <code><a rd-options="koRpus:lex.div" href="/link/lex.div?package=koRpus&version=0.13-8&to=koRpus%3Alex.div" data-mini-rdoc="koRpus:lex.div::lex.div">lex.div</a></code> for details.

This is just a convenient wrapper function for <code>lex.div</code>.

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
install RKWard from <https://rkward.kde.org> (plugins are detected
automatically). Due to some restrictions on CRAN, the full package sources are
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
koRpus-dev mailing list (<https://korpusml.reaktanz.de>).

Meik Michalke

koRpus

Text Analysis with Emphasis on POS Tagging, Readability, and
Lexical Diversity

Earl Brown

Alberto Mirisola

Alexandre Brulet

Laura Hauser

MSTTR function

<dl><dt>txt</dt>
<dd>An object of class <code>kRp.text</code> containing the tagged text to be analyzed.</dd>
<dt>segment</dt>
<dd>An integer value, defining how many tokens should form one segment.</dd>
<dt>...</dt>
<dd>Further valid options for the main function,
 see <code>lex.div</code> for details.</dd></dl>

Arguments

Lexical diversity: Mean Segmental Type-Token Ratio (MSTTR) — MSTTR

<dl>

<dt>txt</dt>
<dd>An object of class <code>kRp.text</code> containing the tagged text to be analyzed.</dd>


<dt>segment</dt>
<dd>An integer value, defining how many tokens should form one segment.</dd>


<dt>...</dt>
<dd>Further valid options for the main function,
 see <code>lex.div</code> for details.</dd>

</dl>

MSTTR: Lexical diversity: Mean Segmental Type-Token Ratio (MSTTR)

Description

Usage

Value

Arguments

Details

See Also

Examples