semvec/pypi-packages huggingface dataset:
Augmentext 0.1.7
Text augmentation library for NLP with a focus on biomedical applications.
License: MIT
Keywords: text,augmentation,generation,NLP,machine,learning,biomedical,bioinformatics

# 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>