I’ve just added augmentation methods in Locomotive:
This allows Locomotive to add more samples from the training data. For example, the single_word_punctuation
augmenter when passed:
('hello', 'salve')
Adds to the training data:
[('hello?', 'salve?'), ('hello!', 'salve!'), ('hello.', 'salve.')]