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Non-autoregressive machine translation (NAT) has recently made great progress.
Convergence of translation memory and statistical machine translation
Philipp Koehn and Jean Senellart. 2010 · 2010
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The effect of translation memory databases on productivity
Masaru Yamada. 2011 · 2011
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Parallel data, tools and interfaces in OPUS
Jörg Tiedemann. 2012 · 2012
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Sequence-level knowledge distillation
Yoon Kim and Alexander M. Rush. 2016 · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Using the output embedding to improve language models
Ofir Press and Lior Wolf. 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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MS-UEdin submission to the WMT2018 APE shared task: Dual-source transformer for automatic post-editing
Marcin Junczys-Dowmunt and Roman Grundkiewicz. 2018 · 2018
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End-to-end non-autoregressive neural machine translation with connectionist temporal classification
Jindřich Libovický and Jindřich Helcl. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Guiding neural machine translation with retrieved translation pieces
Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Graham Neubig, and Satoshi Nakamura. 2018 · 2018
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Neural fuzzy repair: Integrating fuzzy matches into neural machine translation
Bram Bulte and Arda Tezcan. 2019 · 2019
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Mask-predict: Parallel decoding of conditional masked language models
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, and Luke Zettlemoyer. 2019 · 2019
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Levenshtein transformer
Jiatao Gu, Changhan Wang, and Junbo Zhao. 2019 · 2019
Cited alongside, same era.
fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
Cited alongside, same era.
Graph based translation memory for neural machine translation
Mengzhou Xia, Guoping Huang, Lemao Liu, and Shuming Shi. 2019 · 2019
Cited alongside, same era.
Priming neural machine translation
Minh Quang Pham, Jitao Xu, Josep Crego, François Yvon, and Jean Senellart. 2020 · 2020
Cited alongside, same era.
COMET: A neural framework for MT evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020 · 2020
Cited alongside, same era.
Non-autoregressive machine translation with latent alignments
Chitwan Saharia, William Chan, Saurabh Saxena, and Mohammad Norouzi. 2020 · 2020
Cited alongside, same era.
Deep encoder, shallow decoder: Reevaluating non-autoregressive machine translation
Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, and Noah Smith. 2021 · 2021
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Nearest neighbor machine translation
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, and Mike Lewis. 2021 · 2021
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EDITOR: An Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints
Weijia Xu and Marine Carpuat. 2021 · 2021
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How does distilled data complexity impact the quality and confidence of non-autoregressive machine translation?
Weijia Xu, Shuming Ma, Dongdong Zhang, and Marine Carpuat. 2021 · 2021
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Adaptive nearest neighbor machine translation
Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, and Jiajun Chen. 2021 · 2021
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Lexically constrained neural machine translation with Levenshtein transformer
Raymond Hendy Susanto, Shamil Chollampatt, and Liling Tan. 2020 · 2020
Cited alongside, same era.
Boosting neural machine translation with similar translations
Jitao Xu, Josep Crego, and Jean Senellart. 2020 · 2020
Cited alongside, same era.
Understanding knowledge distillation in non-autoregressive machine translation
Chunting Zhou, Jiatao Gu, and Graham Neubig. 2020 · 2020
Cited alongside, same era.
Neural machine translation with monolingual translation memory
Deng Cai, Yan Wang, Huayang Li, Wai Lam, and Lemao Liu. 2021 · 2021
Cited alongside, same era.
Fully non-autoregressive neural machine translation: Tricks of the trade
Jiatao Gu and Xiang Kong. 2021 · 2021
Cited alongside, same era.
Fast and accurate neural machine translation with translation memory
Qiuxiang He, Guoping Huang, Qu Cui, Li Li, and Lemao Liu. 2021 · 2021
Cited alongside, same era.
Non-autoregressive machine translation: It’s not as fast as it seems
Jindřich Helcl, Barry Haddow, and Alexandra Birch. 2022 · 2022
Closest in time.
Improving non-autoregressive translation models without distillation
Xiao Shi Huang, Felipe Perez, and Maksims Volkovs. 2022 · 2022
Closest in time.
Nearest neighbor non-autoregressive text generation
Ayana Niwa, Sho Takase, and Naoaki Okazaki. 2022 · 2022
Closest in time.
Non-autoregressive neural machine translation: A call for clarity
Robin Schmidt, Telmo Pires, Stephan Peitz, and Jonas Lööf. 2022 · 2022
Closest in time.
A survey on non-autoregressive generation for neural machine translation and beyond
Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, and Tie-yan Liu. 2022 · 2022
Closest in time.
Bilingual synchronization: Restoring translational relationships with editing operations
Jitao Xu, Josep Crego, and François Yvon. 2022 · 2022
Closest in time.
Neighbors are not strangers: Improving non-autoregressive translation under low-frequency lexical constraints
Chun Zeng, Jiangjie Chen, Tianyi Zhuang, Rui Xu, Hao Yang, Qin Ying, Shimin Tao, and Yanghua Xiao. 2022 · 2022
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