mturk_list

Word list from Brysbaert, Warriner &amp; Kuperman (2014). A list of 39,954 words that have been hand-annotated by crowdsourced workers for concreteness.

datasets

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

mturk_list function

A data frame with 39,954 rows and 2 variables.<dl>
 <dt>Word</dt>
<dd>character text of a word with an entry in this dictionary</dd> <dt>Conc.M</dt>
<dd>average concreteness score for that word (from 1-5)</dd>
</dl>

Format

Concreteness mTurk Word List — mturk_list

A data frame with 39,954 rows and 2 variables.<dl>
 <dt>Word</dt>
<dd>character text of a word with an entry in this dictionary</dd>

 <dt>Conc.M</dt>
<dd>average concreteness score for that word (from 1-5)</dd>


</dl>

mturk_list: Concreteness mTurk Word List

Description

Usage

Arguments

Format