Fetching the paper…
Reading the bibliography…
Neural Machine Translation (NMT) generates target words sequentially in the way of predicting the next word conditioned on the context words.
Statistical theory of extreme valuse and some practical applications
Emil Julius Gumbel. 1954 · 1954
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Clause restructuring for statistical machine translation
Michael Collins, Philipp Koehn, and Ivona Kucerova. 2005 · 2005
Earlier work this paper cites.
Adadelta: an adaptive learning rate method
Matthew D Zeiler. 2012 · 2012
Earlier work this paper cites.
Learning phrase representations using rnn encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
A* sampling
Chris J Maddison, Daniel Tarlow, and Tom Minka. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Scheduled sampling for sequence prediction with recurrent neural networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015 · 2015
Cited alongside, same era.
Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2015 · 2015
Cited alongside, same era.
Improving multi-step prediction of learned time series models
Arun Venkatraman, Martial Hebert, and J. Andrew Bagnell. 2015 · 2015
Cited alongside, same era.
Neural machine translation of rare words with subword units
Modeling coverage for neural machine translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li. 2016 · 2016
Later among the works it cites.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al. 2016 · 2016
Later among the works it cites.
Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin. 2017 · 2017
Later among the works it cites.
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
Later among the works it cites.
Incorporating word reordering knowledge into attention-based neural machine translation
Jinchao Zhang, Mingxuan Wang, Qun Liu, and Jie Zhou. 2017 · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
Minimum risk training for neural machine translation
Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 2016
Cited alongside, same era.
Greedy search with probabilistic n-gram matching for neural machine translation
Chenze Shao, Xilin Chen, and Yang Feng. 2018 · 2018
Later among the works it cites.
Dtmt: A novel deep transition architecture for neural machine translation
Fandong Meng and Jinchao Zhang. 2019 · 2019
Closest in time.