Augmentext
Augmentext is a text augmentation package for Natural Language Processing, with a focus on applications in the biomedical domain.
Augmentext is work in progress! Some features are functional, but it not yet in a usable state.
Features
- Auto-generated, randomised misspellings
- Dictionary-based thesaurus word replacement
- Auto-generated abbreviations
- More to come...
Biomedical Domain Specific Features
Although a general library, Augmentext has a special focus on biomedical text, such as
- Replacement of mm/g^2 with common mistakes, e.g. g/mm^2 etc.
- Conversion of units from metric to imperial/customary and vice versa
- Integration of SNOMED, ICD, MeSH, RxNorm and other text corpora in to the augmentation pipeline
- Synonym replacement using pre-trained models using GloVe, fasttext, and word2vec.
More Information
See the project's GitHub respository https://github.com/mdbloice/Augmentext
Help will be available here once the software has been made public on GitHub: https://augmentext.readthedocs.io
1 maintainer
Metadata
1 maintainer
Release files for Augmentext 0.1.7
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| Augmentext-0.1.7.tar.gz | 25.3 kB | Without provenance | Details for Augmentext-0.1.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| Augmentext-0.1.7-py3-none-any.whl | Python 3 | none | any | Details for Augmentext-0.1.7-py3-none-any.whl |
Total release size: 50.3 kB
Release files / Augmentext-0.1.7.tar.gz
| Download URL | Augmentext-0.1.7.tar.gz |
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| Size | 25.3 kB |
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Release files / Augmentext-0.1.7-py3-none-any.whl
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