WMT 20

This page provides pointers to the models of Facebook-FAIR's WMT'20 news translation task submission (Chen et al., 2020).

Single best MT models (after finetuning on part of WMT20 news dev set)

Model	Description	Download
`transformer.wmt20.ta-en`	Ta->En	download (.tar.gz)
`transformer.wmt20.en-ta`	En->Ta	download (.tar.gz)
`transformer.wmt20.iu-en.news`	Iu->En (News domain)	download (.tar.gz)
`transformer.wmt20.en-iu.news`	En->Iu (News domain)	download (.tar.gz)
`transformer.wmt20.iu-en.nh`	Iu->En (Nunavut Hansard domain)	download (.tar.gz)
`transformer.wmt20.en-iu.nh`	En->Iu (Nunavut Hansard domain)	download (.tar.gz)

Language models

Model	Description	Download
`transformer_lm.wmt20.en`	En Language Model	download (.tar.gz)
`transformer_lm.wmt20.ta`	Ta Language Model	download (.tar.gz)
`transformer_lm.wmt20.iu.news`	Iu Language Model (News domain)	download (.tar.gz)
`transformer_lm.wmt20.iu.nh`	Iu Language Model (Nunavut Hansard domain)	download (.tar.gz)

Example usage (torch.hub)

Translation

python

import torch

# English to Tamil translation
en2ta = torch.hub.load('pytorch/fairseq', 'transformer.wmt20.en-ta')
en2ta.translate("Machine learning is great!")  # 'இயந்திரக் கற்றல் அருமை!'

# Tamil to English translation
ta2en = torch.hub.load('pytorch/fairseq', 'transformer.wmt20.ta-en')
ta2en.translate("இயந்திரக் கற்றல் அருமை!")  # 'Machine learning is great!'

# English to Inuktitut translation
en2iu = torch.hub.load('pytorch/fairseq', 'transformer.wmt20.en-iu.news')
en2iu.translate("machine learning is great!")  # 'ᖃᒧᑕᐅᔭᓄᑦ ᐃᓕᓐᓂᐊᕐᓂᖅ ᐱᐅᔪᒻᒪᕆᒃ!'

# Inuktitut to English translation
iu2en = torch.hub.load('pytorch/fairseq', 'transformer.wmt20.iu-en.news')
iu2en.translate("ᖃᒧᑕᐅᔭᓄᑦ ᐃᓕᓐᓂᐊᕐᓂᖅ ᐱᐅᔪᒻᒪᕆᒃ!")  # 'Machine learning excellence!'

Language Modeling

python

# Sample from the English LM
en_lm = torch.hub.load('pytorch/fairseq', 'transformer_lm.wmt20.en')
en_lm.sample("Machine learning is")  # 'Machine learning is a type of artificial intelligence that uses machine learning to learn from data and make predictions.'

# Sample from the Tamil LM
ta_lm = torch.hub.load('pytorch/fairseq', 'transformer_lm.wmt20.ta')
ta_lm.sample("இயந்திரக் கற்றல் என்பது செயற்கை நுண்ணறிவின்")  # 'இயந்திரக் கற்றல் என்பது செயற்கை நுண்ணறிவின் ஒரு பகுதியாகும்.'

# Sample from the Inuktitut LM
iu_lm = torch.hub.load('pytorch/fairseq', 'transformer_lm.wmt20.iu.news')
iu_lm.sample("ᖃᒧᑕᐅᔭᓄᑦ ᐃᓕᓐᓂᐊᕐᓂᖅ")  # 'ᖃᒧᑕᐅᔭᓄᑦ ᐃᓕᓐᓂᐊᕐᓂᖅ, ᐊᒻᒪᓗ ᓯᓚᐅᑉ ᐊᓯᙳᖅᐸᓪᓕᐊᓂᖓᓄᑦ ᖃᓄᐃᓕᐅᕈᑎᒃᓴᑦ, ᐃᓚᖃᖅᖢᑎᒃ ᐅᑯᓂᖓ:'

Citation

bibtex

@inproceedings{chen2020facebook
  title={Facebook AI's WMT20 News Translation Task Submission},
  author={Peng-Jen Chen and Ann Lee and Changhan Wang and Naman Goyal and Angela Fan and Mary Williamson and Jiatao Gu},
  booktitle={Proc. of WMT},
  year={2020},
}