| import nlpaug.augmenter.word as naw | |
| import nlpaug.augmenter.sentence as nas | |
| import nltk | |
| sent = "I am really happy with the new job and I mean that with sincere feeling" | |
| def main(): | |
| nltk.download("omw-1.4") | |
| # this seems legit! I could definitely use this to increase the accuracy of the model | |
| # for a few idioms (possibly ten, ten very different but frequent idioms) | |
| aug = naw.ContextualWordEmbsAug() | |
| augmented = aug.augment(sent, n=10) | |
| print(augmented) | |
| if __name__ == '__main__': | |
| main() | |