Fetching the paper…
Reading the bibliography…
We investigate why neural machine translation (NMT) systems assign high probability to empty translations.
A statistical approach to machine translation
Peter F. Brown, John Cocke, Stephen Della Pietra, Vincent J. Della Pietra, Frederick Jelinek, John D. Lafferty, Robert L. Mercer, and Paul S. Roossin. 1990 · 1990
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Improved alignment models for statistical machine translation
Franz Josef Och, Christoph Tillmann, and Hermann Ney. 1999 · 1999
Earlier work this paper cites.
Fast decoding and optimal decoding for machine translation
Ulrich Germann, Michael Jahr, Kevin Knight, Daniel Marcu, and Kenji Yamada. 2001 · 2001
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2001 · 2001
Earlier work this paper cites.
Yilin Yang, Liang Huang, and Mingbo Ma. 2018 · 2012
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.
Montreal neural machine translation systems for WMT’15
Sébastien Jean, Orhan Firat, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Improved neural machine translation with SMT features
Wei He, Zhongjun He, Hua Wu, and Haifeng Wang. 2016 · 2016
Cited alongside, same era.
Neural machine translation of rare words with subword units
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.
Why neural translations are the right length
Xing Shi, Kevin Knight, and Deniz Yuret. 2016 · 2016
Cited alongside, same era.
Length bias in encoder decoder models and a case for global conditioning
Pavel Sountsov and Sunita Sarawagi. 2016 · 2016
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Later among the works it cites.
Recurrent neural networks as weighted language recognizers
Yining Chen, Sorcha Gilroy, Andreas Maletti, Jonathan May, and Kevin Knight. 2018 · 2018
Later among the works it cites.
Correcting length bias in neural machine translation
Kenton Murray and David Chiang. 2018 · 2018
Later among the works it cites.
Analyzing uncertainty in neural machine translation
Myle Ott, Michael Auli, David Grangier, and Marc’Aurelio Ranzato. 2018 · 2018
Later among the works it cites.
Tensor2tensor for neural machine translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, and Jakob Uszkoreit. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
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
Cited alongside, same era.
Empirical analysis of beam search performance degradation in neural sequence models
Eldan Cohen and Christopher Beck. 2019 · 2019
Later among the works it cites.
On NMT search errors and model errors: Cat got your tongue?
Felix Stahlberg and Bill Byrne. 2019 · 2019
Later among the works it cites.