Back translation augmentation

[martincjespersen]

Augmenting of a document using back translation of various languages e.g., using huggingface models: https://huggingface.co/models?pipeline_tag=translation.

Example blog: https://dzlab.github.io/dltips/en/pytorch/text-augmentation/

Example sentence:
Augmenty is an augmentation library based on spaCy for augmenting texts. Augmenty differs from other augmentation libraries in that it corrects (as far as possible) the token, sentence and document labels under the augmentation.

English -> Danish (Google):
Augmenty er et udvidelsesbibliotek baseret på spaCy til forstørrelse af tekster. Augmenty adskiller sig fra andre augmentationsbiblioteker ved, at den korrigerer (så vidt muligt) token-, sætnings- og dokumentetiketterne under augmentationen.

Danish -> English (Google):
Augmenty is an extension library based on spaCy for enlarging texts. Augmenty differs from other augmentation libraries in that it corrects (as far as possible) the token, sentence, and document labels during augmentation.

[KennethEnevoldsen]

This would require solving issue #14 as the model currently takes in one example at a time, which would be unfeasible for back-translation.

[KennethEnevoldsen]

I will close this as stale @martincjespersen, let me know if you still would like this change.