Fetching the paper…
Reading the bibliography…
In typical neural machine translation~(NMT), the decoder generates a sentence word by word, packing all linguistic granularities in the same time-scale of RNN.
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.
Statistical phrase-based translation
Philipp Koehn, Franz Josef Och, and Daniel Marcu. 2003 · 2003
Earlier work this paper cites.
A hierarchical phrase-based model for statistical machine translation
David Chiang. 2005 · 2005
Earlier work this paper cites.
Tree-to-string alignment template for statistical machine translation
Yang Liu, Qun Liu, and Shouxun Lin. 2006 · 2006
Earlier work this paper cites.
Moses: Open source toolkit for statistical machine translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, et al. 2007 · 2007
Earlier work this paper cites.
Soft syntactic constraints for hierarchical phrased-based translation
Yuval Marton and Philip Resnik. 2008 · 2008
Earlier work this paper cites.
A new string-to-dependency machine translation algorithm with a target dependency language model
Libin Shen, Jinxi Xu, and Ralph M Weischedel. 2008 · 2008
Earlier work this paper cites.
Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
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.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2015
Cited alongside, same era.
Character-based neural machine translation
Wang Ling, Isabel Trancoso, Chris Dyer, and Alan W Black. 2015 · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and D. Christopher Manning. 2015 · 2015
Cited alongside, same era.
A neural probabilistic structured-prediction model for transition-based dependency parsing
Hao Zhou, Yue Zhang, Shujian Huang, and Jiajun Chen. 2015 · 2015
Cited alongside, same era.
A character-level decoder without explicit segmentation for neural machine translation
Junyoung Chung, Kyunghyun Cho, and Yoshua Bengio. 2016 · 2016
Cited alongside, same era.
Linguistic input features improve neural machine translation
Rico Sennrich and Barry Haddow. 2016 · 2016
Later among the works it cites.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Later among the works it cites.
Does string-based neural mt learn source syntax?
Xing Shi, Inkit Padhi, and Kevin Knight. 2016 · 2016
Later among the works it cites.
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.
Graph-based dependency parsing with bidirectional lstm
Wenhui Wang and Baobao Chang. 2016 · 2016
Later among the works it cites.
Google’s neural machine translation system: Bridging the gap between human and machine translation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Tree-to-sequence attentional neural machine translation
Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka. 2016 · 2016
Cited alongside, same era.
Factored neural machine translation
Mercedes García-Martínez, Loïc Barrault, and Fethi Bougares. 2016 · 2016
Cited alongside, same era.
Fully character-level neural machine translation without explicit segmentation
Jason Lee, Kyunghyun Cho, and Thomas Hofmann. 2016 · 2016
Cited alongside, same era.
Multi-task sequence to sequence learning
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser. 2016 · 2016
Cited alongside, same era.
Coupling distributed and symbolic execution for natural language queries
Lili Mou, Zhengdong Lu, Hang Li, and Zhi Jin. 2016 · 2016
Cited alongside, same era.
Context gates for neural machine translation
Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, and Hang Li. 2017a
Cited in the paper.
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.
Chunk-based decoder for neural machine translation
Shonosuke Ishiwatari, Jingtao Yao, Shujie Liu, Mu Li, Ming Zhou, Naoki Yoshinaga, Masaru Kitsuregawa, and Weijia Jia. 2017 · 2017
Closest in time.
Neural machine translation with reconstruction
Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, and Hang Li. 2017b · 2017
Closest in time.
Syntactically guided neural machine translation
Felix Stahlberg, Eva Hasler, Aurelien Waite, and Bill Byrne. 2016 · 2049
Closest in time.
Character-based neural machine translation
R. Marta Costa-jussà and R. José A. Fonollosa. 2016 · 2058
Closest in time.