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Recent advents in Neural Machine Translation (NMT) have shown improvements in low-resource language (LRL) translation tasks.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Moses: Open source toolkit for statistical machine translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, et al · 2007
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Domain adaptation for statistical machine translation with monolingual resources
Nicola Bertoldi and Marcello Federico · 2009
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Morpheme-based language modeling for amharic speech recognition
Martha Yifiru Tachbelie, Solomon Teferra Abate, and Wolfgang Menzel · 2009
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Wit3: Web inventory of transcribed and translated talks
Mauro Cettolo, Christian Girardi, and Marcello Federico · 2012
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Parallel data, tools and interfaces in opus
Jörg Tiedemann · 2012
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Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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A massively parallel corpus: the bible in 100 languages
Christos Christodouloupoulos and Mark Steedman · 2015
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Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang · 2015
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2015
Cited alongside, same era.
Multi-way, multilingual neural machine translation with a shared attention mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio · 2016
Cited alongside, same era.
Toward multilingual neural machine translation with universal encoder and decoder
Thanh-Le Ha, Jan Niehues, and Alexander Waibel · 2016
Cited alongside, same era.
Annotated amharic corpora
Pavel Rychlỳ and Vít Suchomel · 2016
Cited alongside, same era.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
Cited alongside, same era.
Neural versus phrase-based mt quality: An in-depth analysis on english-german and english-french
Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, and Marcello Federico · 2018
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Understanding back-translation at scale
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier · 2018
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Trivial transfer learning for low-resource neural machine translation
Tom Kocmi and Ondřej Bojar · 2018
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Taku Kudo and John Richardson · 2018
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“Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary”
Surafel Melaku Lakew, Aliia Erofeeva, Matteo Negri, Marcello Federico, and Marco Turchi · 2018
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Transfer learning for low-resource neural machine translation
Barret Zoph, Deniz Yuret, Jonathan May, and Kevin Knight · 2016
Cited alongside, same era.
Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 2017
Cited alongside, same era.
Google’s multilingual neural machine translation system: Enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc V Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean · 2017
Cited alongside, same era.
Opennmt: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M Rush · 2017
Cited alongside, same era.
Six challenges for neural machine translation
Philipp Koehn and Rebecca Knowles · 2017
Cited alongside, same era.
Transfer learning across low-resource, related languages for neural machine translation
Toan Q Nguyen and David Chiang · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
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Unsupervised machine translation using monolingual corpora only
Guillaume Lample, Ludovic Denoyer, and Marc’Aurelio Ranzato · 2018
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Rapid adaptation of neural machine translation to new languages
Graham Neubig and Junjie Hu · 2018
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JW300: A wide-coverage parallel corpus for low-resource languages
Željko Agić and Ivan Vulić · 2019
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Massively multilingual neural machine translation in the wild: Findings and challenges
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George Foster, Colin Cherry, et al · 2019
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Isaac Caswell, Ciprian Chelba, and David Grangier · 2019
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Improved zero-shot neural machine translation via ignoring spurious correlations
Jiatao Gu, Yong Wang, Kyunghyun Cho, and Victor OK Li · 2019
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Two new evaluation datasets for low-resource machine translation: Nepali-english and sinhala-english
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, and Marc’Aurelio Ranzato · 2019
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When and why are pre-trained word embeddings useful for neural machine translation?
Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Janani Padmanabhan, and Graham Neubig · 2084
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