Package: doc2concrete 0.6.0
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.
Authors:
doc2concrete_0.6.0.tar.gz
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doc2concrete.pdf |doc2concrete.html✨
doc2concrete/json (API)
# Install 'doc2concrete' in R: |
install.packages('doc2concrete', repos = c('https://myeomans.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/myeomans/doc2concrete/issues
- adviceNgrams - Pre-trained advice concreteness features
- bootstrap_list - Concreteness mTurk Word List
- feedback_dat - Personal Feedback Dataset
- mturk_list - Concreteness mTurk Word List
- planNgrams - Pre-trained plan concreteness features
- uk2us - UK to US Conversion dictionary
Last updated 10 months agofrom:db47b81370. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:doc2concretengramTokens
Dependencies:BHclicodetoolscpp11data.tabledigestdplyrdttenglishfansifastmatchforeachgenericsglmnetgluehunspellISOcodesiteratorsjsonlitekoRpuskoRpus.lang.enlatticelexiconlifecyclemagrittrMatrixmgsubNLPpillarpkgconfigpurrrqdapRegexquantedaR6RcppRcppEigenrlangshapeslamSnowballCstopwordsstringistringrsurvivalsyllysylly.ensyuzhettextcleantextshapetextstemtibbletidyrtidyselecttmutf8vctrswithrxml2yamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Pre-trained advice concreteness features | adviceNgrams |
Concreteness mTurk Word List | bootstrap_list |
Concreteness Scores | doc2concrete |
Personal Feedback Dataset | feedback_dat |
Concreteness mTurk Word List | mturk_list |
Ngram Tokenizer | ngramTokens |
Pre-trained plan concreteness features | planNgrams |
UK to US Conversion dictionary | uk2us |