Nlpaug Versions Save

• Add aug_max to control maximum number of augmented item
• Fix ContextualWordEmbsAug (for BERT) error when input is longer than max sequence length
• Add RandomWordAug Substitute action
• Fix ContextualWordEmbsAug error when no augmented data
• Support multi thread processing (for CPU only) to speed up the augmentation
• Fix KeyboardAug error #55

• Added Swap Mode (adjacent, middle and random) for RandomAug (character level)
• Added SynonymAug (WordNet/ PPDB) and AntonymAug (WordNet)
• WordNetAug is deprecated. Uses SynonymAug instead
• Introduce parameter n. Returning more than 1 augmented data. Changing output format from text (or numpy) to list of text (or numpy) if n > 1
• Introduce parameter temperature in ContextualWordEmbsAug and ContextualWordEmbsForSentenceAug to control the randomness
• aug_n parameter is deprecated. This parameter will be replaced by top_k parameter
• Fixed tokenization issue #48
• Upgraded transformers dependency (or pytorch_transformer) to 2.0.0
• Upgraded PyTorch dependency to 1.2.0
• Added SplitAug

• BertAug is replaced by ContextualWordEmbsAug
• Support GPU (for ContextualWordEmbsAug only) #26
• Upgraded pytorch_transformer to 1.1.0 version #33
• ContextualWordEmbsAug suuports both BERT and XLNet model
• Removed librosa dependency
• Add ContextualWordEmbsForSentenceAug for generating next sentence
• Fix sampling issue #38

• Add new augmenter (CropAug, LoudnessAug, MaskAug)
• QwertyAug is deprecated. It will be replaced by KeyboardAug
• Remove StopWordsAug. It will be replaced by RandomWordAug
• Code refactoring
• Added model download function for word2vec, GloVe and fasttext

0.0.6 release