nlpaug¶
nlpgaug is a library for textual augmentation in machine learning experiments. The goal is improving deep learning model performance by generating textual data. It also able to generate adversarial examples to prevent adversarial attacks.
Contents:
- Overview
- Example
- Augmenter
- Audio Augmenter
- Character Augmenter
- Sentence Augmenter
- Spectrogram Augmenter
- Word Augmenter
- nlpaug.augmenter.word.antonym
- nlpaug.augmenter.word.back_translation
- nlpaug.augmenter.word.context_word_embs
- nlpaug.augmenter.word.random
- nlpaug.augmenter.word.reserved
- nlpaug.augmenter.word.spelling
- nlpaug.augmenter.word.split
- nlpaug.augmenter.word.synonym
- nlpaug.augmenter.word.tfidf
- nlpaug.augmenter.word.word_embs
- Flow
- Util
See Module Index for API.