Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task
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Kenneth Heafield | Roman Grundkiewicz | Alham Fikri Aji | Nikolay Bogoychev | Alham Fikri Aji | Maximiliana Behnke | Sidharth Kashyap | Emmanouil-Ioannis Farsarakis | Mateusz Chudyk | Sidharth N. Kashyap | Kenneth Heafield | Roman Grundkiewicz | Nikolay Bogoychev | Emmanouil Farsarakis | Maximiliana Behnke | M. Chudyk
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[3] Marcin Junczys-Dowmunt,et al. From Research to Production and Back: Ludicrously Fast Neural Machine Translation , 2019, EMNLP.
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[5] Kushal Datta,et al. Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model , 2019, ArXiv.
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[7] Kenneth Heafield,et al. Neural Machine Translation with 4-Bit Precision and Beyond , 2019, ArXiv.
[8] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[9] André F. T. Martins,et al. Marian: Fast Neural Machine Translation in C++ , 2018, ACL.
[10] Marcin Junczys-Dowmunt,et al. Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation , 2019, WMT.
[11] Taku Kudo,et al. SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing , 2018, EMNLP.
[12] Michael Carbin,et al. The Lottery Ticket Hypothesis: Training Pruned Neural Networks , 2018, ArXiv.
[13] Marcin Junczys-Dowmunt,et al. Microsoft’s Submission to the WMT2018 News Translation Task: How I Learned to Stop Worrying and Love the Data , 2018, WMT.
[14] Alexander M. Rush,et al. Sequence-Level Knowledge Distillation , 2016, EMNLP.
[15] Tomas Mikolov,et al. Bag of Tricks for Efficient Text Classification , 2016, EACL.
[16] Marta R. Costa-jussà,et al. Findings of the 2019 Conference on Machine Translation (WMT19) , 2019, WMT.
[17] Fedor Moiseev,et al. Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned , 2019, ACL.
[18] Marcin Junczys-Dowmunt,et al. Marian: Cost-effective High-Quality Neural Machine Translation in C++ , 2018, NMT@ACL.