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.
- Version0.6.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release01/23/2024
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Mike Yeomans
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