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Measuring Concreteness in Natural Language

Mike Yeomans

Last update: 23 January 2024

Copyright license: MIT license, File License

Software version identifier: 0.5.6, 0.4.6, 0.5.0, 0.5.2, 0.5.3, 0.5.4, 0.6.0

Description

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.

Cites work

• A concrete example of construct construction in natural language
• Concreteness ratings for 40 thousand generally known English word lemmas

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