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Myle Ott b41c74dc5b Add code for "Pay Less Attention with Lightweight and Dynamic Convolutions" (#473) 
Summary:
Changelog:
- `e330f56`: Add code for the "Pay Less Attention with Lightweight and Dynamic Convolutions" paper
- `5e3b98c`: Add scripts for computing tokenized BLEU with compound splitting and sacrebleu
- update READMEs
- misc fixes
Pull Request resolved: https://github.com/pytorch/fairseq/pull/473

Differential Revision: D13819717

Pulled By: myleott

fbshipit-source-id: f2dc12ea89a436b950cafec3593ed1b04af808e9
2019-01-25 15:40:26 -08:00
..
README.md Add code for "Pay Less Attention with Lightweight and Dynamic Convolutions" (#473) 2019-01-25 15:40:26 -08:00

README.md

Convolutional Sequence to Sequence Learning (Gehring et al., 2017)

Pre-trained models

Description Dataset Model Test set(s)
Convolutional
(Gehring et al., 2017)		 WMT14 English-French download (.tar.bz2) newstest2014:
download (.tar.bz2)
newstest2012/2013:
download (.tar.bz2)
Convolutional
(Gehring et al., 2017)		 WMT14 English-German download (.tar.bz2) newstest2014:
download (.tar.bz2)
Convolutional
(Gehring et al., 2017)		 WMT17 English-German download (.tar.bz2) newstest2014:
download (.tar.bz2)

Example usage

See the translation README for instructions on reproducing results for WMT'14 En-De and WMT'14 En-Fr using the fconv_wmt_en_de and fconv_wmt_en_fr model architectures.

Citation

@inproceedings{gehring2017convs2s,
  title = {Convolutional Sequence to Sequence Learning},
  author = {Gehring, Jonas, and Auli, Michael and Grangier, David and Yarats, Denis and Dauphin, Yann N},
  booktitle = {Proc. of ICML},
  year = 2017,
}