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doc2concrete

Measuring Concreteness in Natural Language

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.

Versions across snapshots

VersionRepositoryFileSize
0.6.0 rolling linux/jammy R-4.5 doc2concrete_0.6.0.tar.gz 2.5 MiB
0.6.0 rolling linux/noble R-4.5 doc2concrete_0.6.0.tar.gz 2.5 MiB
0.6.0 rolling source/ R- doc2concrete_0.6.0.tar.gz 2.3 MiB
0.6.0 latest linux/jammy R-4.5 doc2concrete_0.6.0.tar.gz 2.5 MiB
0.6.0 latest linux/noble R-4.5 doc2concrete_0.6.0.tar.gz 2.5 MiB
0.6.0 latest source/ R- doc2concrete_0.6.0.tar.gz 2.3 MiB
0.6.0 2026-04-26 source/ R- doc2concrete_0.6.0.tar.gz 2.3 MiB
0.6.0 2026-04-23 source/ R- doc2concrete_0.6.0.tar.gz 2.3 MiB
0.6.0 2026-04-09 windows/windows R-4.5 doc2concrete_0.6.0.zip 2.5 MiB
0.6.0 2025-04-20 source/ R- doc2concrete_0.6.0.tar.gz 2.3 MiB

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