wordnet
textaugment
| wordnet | textaugment | |
|---|---|---|
| 1 | 2 | |
| 46 | 373 | |
| - | 1.6% | |
| 0.0 | 4.6 | |
| about 2 years ago | 3 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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wordnet
textaugment
-
NLP augmentation models
I just came across this Python library. It has a bunch of dictionary-, backtranslation- and knowledge-based heuristics that should work most of the time:
- Prefer volume or quality for BERT-based Text classification model
What are some alternatives?
Wordbook - Wordbook is a dictionary application built for GNOME.
AugLy - A data augmentations library for audio, image, text, and video.
wordnet - A Wordnet API in pure JavaScript
word_forms - Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.
Pattern - Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
scattertext - Beautiful visualizations of how language differs among document types.
tfops-aug - TFOps-Aug: Implementation of policy-based image augmentation techniques based on TF2 Operations. All augmentations as efficient Tensorflow 2.11.0 operations. Easy integration into a tf.data API pipeline.
magnitude - A fast, efficient universal vector embedding utility package.