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Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task.

, , , , , , , and . NGT@ACL, page 218-224. Association for Computational Linguistics, (2020)

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The University of Edinburgh's Submissions to the WMT18 News Translation Task., , , , , , , and . WMT (shared task), page 399-409. Association for Computational Linguistics, (2018)Efficient Machine Translation with Model Pruning and Quantization., , , , , , , , , and 1 other author(s). WMT@EMNLP, page 775-780. Association for Computational Linguistics, (2021)Not all parameters are born equal: Attention is mostly what you need.. BlackboxNLP@EMNLP, page 363-374. Association for Computational Linguistics, (2021)From Research to Production and Back: Ludicrously Fast Neural Machine Translation., , , , , , and . NGT@EMNLP-IJCNLP, page 280-288. Association for Computational Linguistics, (2019)Parallel Sentence Mining by Constrained Decoding., , , and . ACL, page 1672-1678. Association for Computational Linguistics, (2020)The University of Edinburgh's English-German and English-Hausa Submissions to the WMT21 News Translation Task., , , , , , , , and . WMT@EMNLP, page 104-109. Association for Computational Linguistics, (2021)Edinburgh's Submission to the WMT 2022 Efficiency Task., , , , , , and . WMT, page 661-667. Association for Computational Linguistics, (2022)Findings of the WMT 2022 Shared Task on Efficient Translation., , , , and . WMT, page 100-108. Association for Computational Linguistics, (2022)In Neural Machine Translation, What Does Transfer Learning Transfer?, , , and . ACL, page 7701-7710. Association for Computational Linguistics, (2020)Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice., , and . ACL (1), page 6738-6758. Association for Computational Linguistics, (2022)