Datasets:

Languages:
German
Multilinguality:
monolingual
Size Categories:
10M<n<100M
ArXiv:
License:
PhilipMay commited on
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Update README.md

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@@ -29,12 +29,24 @@ The English texts were machine translated back into German. This is how the para
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  | **sum** |. **21,292,789** |
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  ## To-do
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- - add info how machine translation was done
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- - add info about exact size (size per corpus)
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- - add copyright info and citations of individual datasets
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  - add column description
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  - upload dataset
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  ## Citations & Acknowledgements
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  **OpenSubtitles**\
 
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  | **sum** |. **21,292,789** |
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  ## To-do
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+ - add copyright info of individual datasets
 
 
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  - add column description
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  - upload dataset
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+ ## Back translation
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+ We have made the back translation from English to German with the help of [Fairseq](https://github.com/facebookresearch/fairseq).
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+ We used the `transformer.wmt19.en-de` model for this purpose:
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+
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+ ```python
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+ en2de = torch.hub.load(
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+ "pytorch/fairseq",
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+ "transformer.wmt19.en-de",
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+ checkpoint_file="model1.pt:model2.pt:model3.pt:model4.pt",
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+ tokenizer="moses",
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+ bpe="fastbpe",
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+ )
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+ ```
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+
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  ## Citations & Acknowledgements
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  **OpenSubtitles**\