rsennrich/subword-nmt
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Add note about BPE-Dropout during training

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Ivan Provilkov 2021-02-15 11:59:34 +03:00 committed by GitHub
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@ -94,6 +94,8 @@ On top of the basic BPE implementation, this repository supports:
Doing this on the training corpus can improve quality of the final system; at test time, use BPE without dropout.
In order to obtain reproducible results, argument `--seed` can be used to set the random seed.
**Note:** In the original paper, the authors used BPE-Dropout on each new batch separately. You can copy the training corpus several times to get similar behavior to obtain multiple segmentations for the same sentence.
- support for glossaries:
use the argument `--glossaries` for `subword-nmt apply-bpe` to provide a list of words and/or regular expressions
that should always be passed to the output without subword segmentation