Implementation of the Simple Good Turing smoothing proposed in: Gale, W. A., and Sampson, G. (1995). Good turing frequency estimation without tears. Journal of Quantitative Linguistics, 2(3), 217-237.

Provides text analysis in R, focusing on the use of a tokenized text format. In this format, the positions of tokens are maintained, and each token can be annotated (e.g., part-of-speech tags, dependency relations).
Prominent features include advanced Lucene-like querying for specific tokens or contexts (e.g., documents, sentences),
similarity statistics for words and documents, exporting to DTM for compatibility with many text analysis packages,
and the possibility to reconstruct original text from tokens to facilitate interpretation.

Kasper Welbers

corpustools

Managing, Querying and Analyzing Tokenized Text

sgt function

<dl><dt>freq</dt>
<dd>A numeric vector of frequencies (integers).</dd></dl>

Arguments

Simple Good Turing smoothing — sgt

<dl>

<dt>freq</dt>
<dd>A numeric vector of frequencies (integers).</dd>

</dl>

sgt: Simple Good Turing smoothing

Description

Usage

Value

Arguments