doublestacker

internal

Models for detecting concreteness in natural language. This package is built in support of Yeomans (2021) <doi:10.1016/j.obhdp.2020.10.008>, which reviews linguistic models of concreteness in several domains. Here, we provide an implementation of the best-performing domain-general model (from Brysbaert et al., (2014) <doi:10.3758/s13428-013-0403-5>) as well as two pre-trained models for the feedback and plan-making domains.

Mike Yeomans

doc2concrete

Measuring Concreteness in Natural Language

doublestacker function

<dl><dt>wdcts</dt>
<dd>matrix Token counts that will have doubled column names condensed.</dd></dl>

Arguments

Doublestacker — doublestacker

<dl>

<dt>wdcts</dt>
<dd>matrix Token counts that will have doubled column names condensed.</dd>

</dl>

doublestacker: Doublestacker

Description

Usage

Value

Arguments