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Title: GitHub - sofisticateopenall/fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Open Graph Title: GitHub - sofisticateopenall/fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

X Title: GitHub - sofisticateopenall/fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Description: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - sofisticateopenall/fairseq

Open Graph Description: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - sofisticateopenall/fairseq

X Description: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - sofisticateopenall/fairseq

Opengraph URL: https://github.com/sofisticateopenall/fairseq

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Luong et al. (2015): Effective Approaches to Attention-based Neural Machine Translationhttps://arxiv.org/abs/1508.04025
Wiseman and Rush (2016): Sequence-to-Sequence Learning as Beam-Search Optimizationhttps://arxiv.org/abs/1606.02960
Vaswani et al. (2017): Attention Is All You Needhttps://arxiv.org/abs/1706.03762
Ott et al. (2018): Scaling Neural Machine Translationhttps://patch-diff.githubusercontent.com/sofisticateopenall/fairseq/blob/master/examples/scaling_nmt/README.md
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