Text augmentation library for NLP with a focus on biomedical applications.
Project description
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
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