Fetching the paper…
Reading the bibliography…
Machine translation systems achieve near human-level performance on some languages, yet their effectiveness strongly relies on the availability of large amounts of parallel sentences, which hinders their applicability to the majority of language pairs.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Statistical phrase-based translation
Philipp Koehn, Franz Josef Och, and Daniel Marcu. 2003 · 2003
Earlier work this paper cites.
Improved machine translation performance via parallel sentence extraction from comparable corpora
D.S. Munteanu, A. Fraser, and D. Marcu. 2004 · 2004
Earlier work this paper cites.
Context-based machine translation
Jaime Carbonell, Steve Klein, David Miller, Michael Steinbaum, Tomer Grassiany, and Jochen Frey. 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, Ondrej Bojar Chris Dyer, Alexandra Constantin, and Evan Herbst. 2007 · 2007
Earlier work this paper cites.
Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. 2008 · 2008
Earlier work this paper cites.
Kenlm: Faster and smaller language model queries
Kenneth Heafield. 2011 · 2011
Earlier work this paper cites.
Deciphering foreign language
S. Ravi and K. Knight. 2011 · 2011
Earlier work this paper cites.
Toward statistical machine translation without parallel corpora
Alex Klementiev, Ann Irvine, Chris Callison-Burch, and David Yarowsky. 2012 · 2012
Earlier work this paper cites.
Continuous space translation models for phrase-based statistical machine translation
Holger Schwenk. 2012 · 2012
Earlier work this paper cites.
Parallel data, tools and interfaces in opus
Jörg Tiedemann. 2012 · 2012
Earlier work this paper cites.
Combining bilingual and comparable corpora for low resource machine translation
Ann Irvine and Chris Callison-Burch. 2013 · 2013
Earlier work this paper cites.
Two recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Earlier work this paper cites.
Learning phrase representations using rnn encoder—decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Çağlar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Hallucinating phrase translations for low resource mt
Ann Irvine and Chris Callison-Burch. 2014 · 2014
Cited alongside, same era.
A tagged corpus and a tagger for urdu
Bushra Jawaid, Amir Kamran, and Ondrej Bojar. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
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
D. Bahdanau, K. Cho, and Y. Bengio. 2015 · 2015
Cited alongside, same era.
A teacher-student framework for zero-resource neural machine translation
Y. Chen, Y. Liu, Y. Cheng, and V.O.K. Li. 2017 · 2017
Later among the works it cites.
A challenge set approach to evaluating machine translation
Pierre Isabelle, Colin Cherry, and George Foster. 2017 · 2017
Later among the works it cites.
Six challenges for neural machine translation
Philipp Koehn and Rebecca Knowles. 2017 · 2017
Later among the works it cites.
How grammatical is character-level neural machine translation? assessing mt quality with contrastive translation pairs
Rico Sennrich. 2017 · 2017
Later among the works it cites.
Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Samuel L. Smith, David H. P. Turban, Steven Hamblin, and Nils Y. Hammerla. 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…
Caglar Gulcehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loic Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Zero-resource translation with multi-lingual neural machine translation
O. Firat, B. Sankaran, Y. Al-Onaizan, F.T.Y. Vural, and K. Cho. 2016 · 2016
Cited alongside, same era.
Dual learning for machine translation
Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tieyan Liu, and Wei-Ying Ma. 2016 · 2016
Cited alongside, same era.
End-to-end statistical machine translation with zero or small parallel texts
Ann Irvine and Chris Callison-Burch. 2016 · 2016
Cited alongside, same era.
Google’s multilingual neural machine translation system: Enabling zero-shot translation
M. Johnson, M. Schuster, Q.V. Le, M. Krikun, Y. Wu, Z. Chen, N. Thorat, F. Viégas, M. Wattenberg, G. Corrado, M. Hughes, and J. Dean. 2016 · 2016
Cited alongside, same era.
Using the output embedding to improve language models
Ofir Press and Lior Wolf. 2016 · 2016
Cited alongside, same era.
Edinburgh neural machine translation systems for wmt 16
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Later among the works it cites.
Maximum expected likelihood estimation for zero-resource neural machine translation
H. Zheng, Y. Cheng, and Y. Liu. 2017 · 2017
Later among the works it cites.
Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2018 · 2018
Closest in time.
Word translation without parallel data
A. Conneau, G. Lample, M. Ranzato, L. Denoyer, and H. Jégou. 2018 · 2018
Closest in time.
Universal neural machine translation for extremely low resource languages
Jiatao Gu, Hany Hassan, Jacob Devlin, and Victor O.K. Li. 2018 · 2018
Closest in time.
Achieving human parity on automatic chinese to english news translation
Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, and Ming Zhou. 2018 · 2018
Closest in time.
Unsupervised machine translation using monolingual corpora only
G. Lample, A. Conneau, L. Denoyer, and M. Ranzato. 2018 · 2018
Closest in time.
Dual transfer learning for neural machine translation with marginal distribution regularization
Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, and Tie-Yan Liu. 2018 · 2018
Closest in time.
Unsupervised neural machine translation with weight sharing
Zhen Yang, Wei Chen, Feng Wang, and Bo Xu. 2018 · 2018
Closest in time.