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This paper describes the Microsoft Translator submissions to the WMT19 news translation shared task for English-German.
Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio. 2010 · 2010
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Neural machine translation with extended context
Jörg Tiedemann and Yves Scherrer. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Understanding back-translation at scale
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier. 2018 · 2018
Cited alongside, same era.
MS-UEdin submission to the WMT2018 APE shared task: Dual-source transformer for automatic post-editing
Marcin Junczys-Dowmunt and Roman Grundkiewicz. 2018 · 2018
Cited alongside, same era.
Marian: Fast neural machine translation in C++
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, André F. T. Martins, and Alexandra Birch. 2018 · 2018
Cited alongside, same era.
SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson. 2018 · 2018
Cited alongside, same era.
Dual conditional cross-entropy filtering of noisy parallel corpora
Marcin Junczys-Dowmunt. 2018a
Cited in the paper.
Microsoft’s submission to the WMT2018 news translation task: How I learned to stop worrying and love the data
Marcin Junczys-Dowmunt. 2018b
Cited in the paper.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
Later among the works it cites.
Findings of the 2019 Conference on Machine Translation (WMT19)
Ondřej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Christof Monz, Mathias Müller, and Matt Post. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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