Fetching the paper…
Reading the bibliography…
We formulate sequence to sequence transduction as a noisy channel decoding problem and use recurrent neural networks to parameterise the source and channel models.
A mathematical theory of communication
Claude Shannon · 1948
Earlier work this paper cites.
Finding structure in time
Jeffrey L. Elman · 1990
Earlier work this paper cites.
The mathematics of statistical machine translation: Parameter estimation
Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra, and Robert. L. Mercer · 1993
Earlier work this paper cites.
Computational complexity of probabilistic disambiguation by means of tree-grammars
Khalil Sima’an · 1996
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
A DP-based search using monotone alignments in statistical translation
Christoph Tillmann, Stephan Vogel, Hermann Ney, and Alex Zubiaga · 1997
Earlier work this paper cites.
Statistical Methods for Speech Recognition
Frederick Jelinek · 1998
Earlier work this paper cites.
An improved error model for noisy channel spelling correction
Eric Brill and Robert C. Moore · 2000
Earlier work this paper cites.
Conditional structure versus conditional estimation in nlp models
Dan Klein and Christopher D. Manning · 2001
Earlier work this paper cites.
A noisy-channel approach to question answering
Abdessamad Echihabi and Daniel Marcu · 2003
Earlier work this paper cites.
English gigaword
David Graff, Junbo Kong, Ke Chen, and Kazuaki Maeda · 2003
Earlier work this paper cites.
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber · 2006
Earlier work this paper cites.
Incremental decoding for phrase-based statistical machine translation
Baskaran Sankaran, Ajeet Grewal, and Anoop Sarkar · 2010
Earlier work this paper cites.
Sequence transduction with recurrent neural networks
Alex Graves · 2012
Cited alongside, same era.
Annotated gigaword
Courtney Napoles, Matthew Gormley, and Benjamin Van Durme · 2012
Cited alongside, same era.
Supervised learning of complete morphological paradigms
Greg Durrett and John DeNero · 2013
Cited alongside, same era.
Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom · 2013
Cited alongside, same era.
Don’t until the final verb wait: Reinforcement learning for simultaneous machine translation
Alvin Grissom II, Jordan Boyd-Graber, He He, John Morgan, and Hal Daumé III · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014
Cited alongside, same era.
Semi-supervised learning for neural machine translation
Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu · 2016
Closest in time.
Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, and Alexander M. Rush · 2016
Closest in time.
Morphological inflection generation using character sequence to sequence learning
Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, and Chris Dyer · 2016
Closest in time.
Learning to translate in real-time with neural machine translation
Jiatao Gu, Graham Neubig, Kyunghyun Cho, and Victor O.K. Li · 2016
Closest in time.
Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, and Yoshua Bengio · 2016
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
Cited alongside, same era.
On using monolingual corpora in neural machine translation
Çaglar Gülçehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loïc Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Cited alongside, same era.
Inflection generation as discriminative string transduction
Garrett Nicolai, Colin Cherry, and Grzegorz Kondrak · 2015
Cited alongside, same era.
A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston · 2015
Cited alongside, same era.
Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
Cited alongside, same era.
Character-level incremental speech recognition with recurrent neural networks
Kyuyeon Hwang and Wonyong Sung · 2016
Closest in time.
A neural transducer
Navdeep Jaitly, David Sussillo, Quoc V Le, Oriol Vinyals, Ilya Sutskever, and Samy Bengio · 2016
Closest in time.
Segmental recurrent neural networks
Lingpeng Kong, Chris Dyer, and Noah A Smith · 2016
Closest in time.
Agreement on target-bidirectional neural machine translation
Lemao Liu, Masao Utiyama, Andrew Finch, and Eiichiro Sumita · 2016
Closest in time.
Language as a latent variable: Discrete generative models for sentence compression
Yishu Miao and Phil Blunsom · 2016
Closest in time.
Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
Closest in time.
Neural machine translation with reconstruction
Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, and Hang Li · 2016
Closest in time.
Online segment to segment neural transduction
Lei Yu, Jan Buys, and Phil Blunsom · 2016
Closest in time.