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We present a survey covering the state of the art in low-resource machine translation research.
Language models are few-shot learners
Brown, Tom, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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The compositionality of neural networks: integrating symbolism and connectionism
Hupkes, Dieuwke, Verna Dankers, Mathijs Mul, and Elia Bruni. 2019 · 1908
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A survey of methods to leverage monolingual data in low-resource neural machine translation
Gibadullin, Ilshat, Aidar Valeev, Albina Khusainova, and Adil Khan. 2019 · 1910
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Semi-supervised learning for neural machine translation
Cheng, Yong, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 1974
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A generalized probability density function for double-bounded random processes
Kumaraswamy, P. 1980 · 1980
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Learning to control fast-weight memories: An alternative to dynamic recurrent networks
Schmidhuber, J. 1992 · 1992
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Williams, Ronald J. 1992 · 1992
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The Mathematics of Statistical Machine Translation: Parameter Estimation
Brown, Peter F., Stephen A. Della Pietra, Vincent J. Della Pietra, and Robert L. Mercer. 1993 · 1993
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Minimum Bayes-Risk Automatic Speech Recognition
Goel, Vaibhava and William J Byrne. 2000 · 2000
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The Syntactic Process
Steedman, Mark. 2000 · 2000
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A Comprehensive Survey of Multilingual Neural Machine Translation
Dabre, Raj, Chenhui Chu, and Anoop Kunchukuttan. 2020 · 2001
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PMIndia - A Collection of Parallel Corpora of Languages of India
Haddow, Barry and Faheem Kirefu. 2020 · 2001
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Bleu: a method for automatic evaluation of machine translation
Papineni, Kishore, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Statistical Phrase-Based Translation
Koehn, Philipp, Franz J. Och, and Daniel Marcu. 2003 · 2003
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Minimum error rate training in statistical machine translation
Och, Franz Josef. 2003 · 2003
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Shortcut learning in deep neural networks
Geirhos, Robert, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard Zemel, Wieland Brendel, Matthias Bethge, and Felix A Wichmann. 2020 · 2004
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Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction
Daumé, Hal and Daniel Marcu. 2005 · 2005
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Improving statistical MT through morphological analysis
Goldwater, Sharon and David McClosky. 2005 · 2005
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Parallel corpora for medium density languages
Varga, D., L. Németh, P. Halácsy, A. Kornai, V. Trón, and V. Nagy. 2005 · 2005
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Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Cover, Thomas M. and Joy A. Thomas. 2006 · 2006
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Manual and Automatic Evaluation of Machine Translation between European Languages
Koehn, Philipp and Christof Monz. 2006 · 2006
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A tutorial on energy-based learning
LeCun, Yann, Sumit Chopra, Raia Hadsell, M Ranzato, and F Huang. 2006 · 2006
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(meta-) evaluation of machine translation
Callison-Burch, Chris, Cameron Fordyce, Philipp Koehn, Christof Monz, and Josh Schroeder. 2007 · 2007
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Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
Clark, Stephen and James R. Curran. 2007 · 2007
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Factored translation models
Koehn, Philipp and Hieu Hoang. 2007 · 2007
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Moses: Open source toolkit for statistical machine translation
Koehn, Philipp, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondřej Bojar, Alexandra Constantin, and Evan Herbst. 2007 · 2007
Earlier work this paper cites.
Exploring different representational units in English-to-Turkish statistical machine translation
Oflazer, Kemal, İlknur Durgar El-Kahlout, and Ilknur Durgar El-Kahlout. 2007 · 2007
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Domain adaptation for statistical machine translation with monolingual resources
Bertoldi, Nicola and Marcello Federico. 2009 · 2009
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Learning from unseen data
Lignos, Constantine. 2010 · 2010
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Pre-training multilingual neural machine translation by leveraging alignment information
Lin, Zehui, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, and Lei Li. 2020 · 2010
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Intelligent Selection of Language Model Training Data
Moore, Robert C. and William Lewis. 2010 · 2010
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MT-based sentence alignment for OCR-generated parallel texts
Sennrich, Rico and Martin Volk. 2010 · 2010
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Large Scale Parallel Document Mining for Machine Translation
Uszkoreit, Jakob, Jay Ponte, Ashok Popat, and Moshe Dubiner. 2010 · 2010
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Improving translation model by monolingual data
Bojar, Ondřej and Aleš Tamchyna. 2011 · 2011
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Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems
Denkowski, Michael and Alon Lavie. 2011 · 2011
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Apertium: a free/open-source platform for rule-based machine translation
Forcada, Mikel L, Mireia Ginestí-Rosell, Jacob Nordfalk, Jim O’Regan, Sergio Ortiz-Rojas, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Gema Ramírez-Sánchez, and Francis M Tyers. 2011 · 2011
Earlier work this paper cites.
Iterative, MT-based Sentence Alignment of Parallel Texts
Sennrich, Rico and Martin Volk. 2011 · 2011
Earlier work this paper cites.
Constructing parallel corpora for six Indian languages via crowdsourcing
Post, Matt, Chris Callison-Burch, and Miles Osborne. 2012 · 2012
Earlier work this paper cites.
Parallel data, tools and interfaces in OPUS
Tiedemann, Jörg. 2012 · 2012
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Efficient Estimation of Word Representations in Vector Space
Mikolov, Tomas, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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N-gram counts and language models from the Common Crawl
Buck, Christian, Kenneth Heafield, and Bas van Ooyen. 2014 · 2014
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Report on the 11th IWSLT evaluation campaign, IWSLT 2014
Cettolo, Mauro, Jan Niehues, Sebastian Stüker, Luisa Bentivogli, and Marcello Federico. 2014 · 2014
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Meteor universal: Language specific translation evaluation for any target language
Denkowski, Michael and Alon Lavie. 2014 · 2014
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An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Goodfellow, Ian J, Mehdi Mirza, Da Xiao, Aaron Courville, and Yoshua Bengio. 2014 · 2014
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Morfessor FlatCat: An HMM-based method for unsupervised and semi-supervised learning of morphology
Grönroos, Stig-Arne, Sami Virpioja, Peter Smit, and Mikko Kurimo. 2014 · 2014
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Auto-Encoding Variational Bayes
Kingma, Diederik P. and Max Welling. 2014 · 2014
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Creating a massively parallel Bible corpus
Mayer, Thomas and Michael Cysouw. 2014 · 2014
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The language demographics of Amazon Mechanical Turk
Pavlick, Ellie, Matt Post, Ann Irvine, Dmitry Kachaev, and Chris Callison-Burch. 2014 · 2014
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GloVe: Global vectors for word representation
Pennington, Jeffrey, Richard Socher, and Christopher Manning. 2014 · 2014
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Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Rezende, Danilo Jimenez, Shakir Mohamed, and Daan Wierstra. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Scheduled sampling for sequence prediction with recurrent neural networks
Bengio, Samy, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015 · 2015
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A Massively Parallel Corpus: The Bible in 100 Languages
Christodouloupoulos, Christos and Mark Steedman. 2015 · 2015
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Multi-task learning for multiple language translation
Dong, Daxiang, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015 · 2015
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On using monolingual corpora in neural machine translation
Gülçehre, Çaglar, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loïc Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2015 · 2015
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How (not) to train your generative model: Scheduled sampling, likelihood, adversary?
Huszar, Ferenc. 2015 · 2015
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Montreal Neural Machine Translation Systems for WMT’15
Jean, Sébastien, Orhan Firat, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio. 2015 · 2015
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chrF: character n-gram F-score for automatic MT evaluation
Popović, Maja. 2015 · 2015
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Variational Inference with Normalizing Flows
Rezende, Danilo and Shakir Mohamed. 2015 · 2015
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Reinforcement learning neural turing machines
Zaremba, Wojciech and Ilya Sutskever. 2015 · 2015
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Incorporating discrete translation lexicons into neural machine translation
Arthur, Philip, Graham Neubig, and Satoshi Nakamura. 2016 · 2016
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Generating sentences from a continuous space
Bowman, Samuel R., Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz, and Samy Bengio. 2016 · 2016
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Multi-way, multilingual neural machine translation with a shared attention mechanism
Firat, Orhan, Kyunghyun Cho, and Yoshua Bengio. 2016 · 2016
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Apertium: a free/open source platform for machine translation and basic language technology
Forcada, Mikel L. and Francis M. Tyers. 2016 · 2016
Earlier work this paper cites.
Factored Neural Machine Translation Architectures
Garcia-Martinez, Mercedes, Loïc Barrault, and Fethi Bougares. 2016 · 2016
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Toward multilingual neural machine translation with universal encoder and decoder
Ha, Thanh-Le, Jan Niehues, and Alexander Waibel. 2016 · 2016
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Dual Learning for Machine Translation
He, Di, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, and Wei-Ying Ma. 2016 · 2016
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Sequence-level knowledge distillation
Kim, Yoon and Alexander M. Rush. 2016 · 2016
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Multi-task Sequence to Sequence Learning
Luong, Minh-Thang, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser. 2016 · 2016
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Sequence Level Training with Recurrent Neural Networks
Ranzato, Marc’Aurelio, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2016 · 2016
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Meta-Learning with Memory-Augmented Neural Networks
Santoro, Adam, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, and Timothy Lillicrap. 2016 · 2016
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Linguistic Input Features Improve Neural Machine Translation
Sennrich, Rico and Barry Haddow. 2016 · 2016
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Minimum risk training for neural machine translation
Shen, Shiqi, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 2016
Earlier work this paper cites.
Matching networks for one shot learning
Vinyals, Oriol, Charles Blundell, Timothy Lillicrap, koray kavukcuoglu, and Daan Wierstra. 2016 · 2016
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Sequence-to-sequence learning as beam-search optimization
Wiseman, Sam and Alexander M. Rush. 2016 · 2016
Earlier work this paper cites.
Variational Neural Machine Translation
Zhang, Biao, Deyi Xiong, Jinsong Su, Hong Duan, and Min Zhang. 2016 · 2016
Earlier work this paper cites.
Exploiting Source-side Monolingual Data in Neural Machine Translation
Zhang, Jiajun and Chengqing Zong. 2016 · 2016
Earlier work this paper cites.
Transfer Learning for Low-Resource Neural Machine Translation
Zoph, Barret, Deniz Yuret, Jonathan May, and Kevin Knight. 2016 · 2016
Earlier work this paper cites.
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English
Ataman, Duygu, Matteo Negri, Marco Turchi, and Marcello Federico. 2017 · 2017
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Enriching Word Vectors with Subword Information
Bojanowski, Piotr, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
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Word Representations in Factored Neural Machine Translation
Burlot, Franck, Mercedes García-Martínez, Loïc Barrault, Fethi Bougares, and François Yvon. 2017 · 2017
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Copied Monolingual Data Improves Low-Resource Neural Machine Translation
Currey, Anna, Antonio Valerio Miceli Barone, and Kenneth Heafield. 2017 · 2017
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An empirical study of language relatedness for transfer learning in neural machine translation
Dabre, Raj, Tetsuji Nakagawa, and Hideto Kazawa. 2017 · 2017
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Monolingual Embeddings for Low Resourced Neural Machine Translation
Di Gangi, Mattia Antonino and Marcello Federico. 2017 · 2017
Earlier work this paper cites.
Data augmentation for low-resource neural machine translation
Fadaee, Marzieh, Arianna Bisazza, and Christof Monz. 2017 · 2017
Earlier work this paper cites.
Memory-augmented Neural Machine Translation
Feng, Yang, Shiyue Zhang, Andi Zhang, Dong Wang, and Andrew Abel. 2017 · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Finn, Chelsea, Pieter Abbeel, and Sergey Levine. 2017 · 2017
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Target-side word segmentation strategies for neural machine translation
Huck, Matthias, Simon Riess, and Alexander Fraser. 2017 · 2017
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Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Johnson, Melvin, Mike Schuster, Quoc Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, et al. 2017 · 2017
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OpenNMT: Open-Source Toolkit for Neural Machine Translation
Klein, Guillaume, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander Rush. 2017 · 2017
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Six challenges for neural machine translation
Koehn, Philipp and Rebecca Knowles. 2017 · 2017
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Deep architectures for neural machine translation
Miceli Barone, Antonio Valerio, Jindřich Helcl, Rico Sennrich, Barry Haddow, and Alexandra Birch. 2017 · 2017
Earlier work this paper cites.
Predicting target language CCG supertags improves neural machine translation
Nădejde, Maria, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, and Alexandra Birch. 2017 · 2017
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A bag of useful tricks for practical neural machine translation: Embedding layer initialization and large batch size
Neishi, Masato, Jin Sakuma, Satoshi Tohda, Shonosuke Ishiwatari, Naoki Yoshinaga, and Masashi Toyoda. 2017 · 2017
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Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation
Nguyen, Toan Q. and David Chiang. 2017 · 2017
Earlier work this paper cites.
Exploiting linguistic resources for neural machine translation using multi-task learning
Niehues, Jan and Eunah Cho. 2017 · 2017
Earlier work this paper cites.
Unsupervised pretraining for sequence to sequence learning
Ramachandran, Prajit, Peter Liu, and Quoc Le. 2017 · 2017
Earlier work this paper cites.
Modeling Target-Side Inflection in Neural Machine Translation
Tamchyna, Aleš, Marion Weller-Di Marco, and Alexander Fraser. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Zipporah: a fast and scalable data cleaning system for noisy web-crawled parallel corpora
Xu, Hainan and Philipp Koehn. 2017 · 2017
Cited alongside, same era.
Unsupervised Neural Machine Translation
Artetxe, Mikel, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2018 · 2018
Cited alongside, same era.
Findings of the 2018 Conference on Machine Translation (WMT18)
Bojar, Ondřej, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, and Christof Monz. 2018 · 2018
Cited alongside, same era.
Word translation without parallel data
Conneau, Alexis, Guillaume Lample, Marc’aurelio Ranzato, Ludovic Denoyer, and Hervé Jégou. 2018 · 2018
Cited alongside, same era.
NICT’s participation in WAT 2018: Approaches using multilingualism and recurrently stacked layers
Dabre, Raj, Anoop Kunchukuttan, Atsushi Fujita, and Eiichiro Sumita. 2018 · 2018
Cited alongside, same era.
Language models not just for pre-training: Fast online neural noisy channel modeling
Bhosale, Shruti, Kyra Yee, Sergey Edunov, and Michael Auli. 2020 · 2020
Later among the works it cites.
Language ID in the wild: Unexpected challenges on the path to a thousand-language web text corpus
Caswell, Isaac, Theresa Breiner, Daan van Esch, and Ankur Bapna. 2020 · 2020
Later among the works it cites.
Facebook AI’s WMT20 news translation task submission
Chen, Peng-Jen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, and Jiatao Gu. 2020 · 2020
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On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Choshen, Leshem, Lior Fox, Zohar Aizenbud, and Omri Abend. 2020 · 2020
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The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task
Chronopoulou, Alexandra, Dario Stojanovski, Viktor Hangya, and Alexander Fraser. 2020 · 2020
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Dandapat, Sandipan and Christian Federmann. 2018 · 2018
Cited alongside, same era.
Understanding back-translation at scale
Edunov, Sergey, Myle Ott, Michael Auli, and David Grangier. 2018a · 2018
Cited alongside, same era.
Classical Structured Prediction Losses for Sequence to Sequence Learning
Edunov, Sergey, Myle Ott, Michael Auli, David Grangier, and Marc’Aurelio Ranzato. 2018b · 2018
Cited alongside, same era.
Meta-learning for low-resource neural machine translation
Gu, Jiatao, Yong Wang, Yun Chen, Victor O. K. Li, and Kyunghyun Cho. 2018 · 2018
Cited alongside, same era.
Achieving Human Parity on Automatic Chinese to English News Translation
Hassan, Hany, 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
Cited alongside, same era.
Iterative back-translation for neural machine translation
Hoang, Vu Cong Duy, Philipp Koehn, Gholamreza Haffari, and Trevor Cohn. 2018 · 2018
Cited alongside, same era.
Dual conditional cross-entropy filtering of noisy parallel corpora
Junczys-Dowmunt, Marcin. 2018 · 2018
Cited alongside, same era.
Unsupervised Cross-lingual Representation Learning at Scale
Conneau, Alexis, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Later among the works it cites.
Linguistically motivated subwords for English-Tamil translation: University of Groningen’s submission to WMT-2020
Dhar, Prajit, Arianna Bisazza, and Gertjan van Noord. 2020 · 2020
Later among the works it cites.
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences
Duan, Xiangyu, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, and Yue Zhang. 2020 · 2020
Later among the works it cites.
UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian
Dutta, Sourav, Jesujoba Alabi, Saptarashmi Bandyopadhyay, Dana Ruiter, and Josef van Genabith. 2020 · 2020
Later among the works it cites.
Low-resource unsupervised NMT: Diagnosing the problem and providing a linguistically motivated solution
Edman, Lukas, Antonio Toral, and Gertjan van Noord. 2020 · 2020
Later among the works it cites.
Is MAP decoding all you need? the inadequacy of the mode in neural machine translation
Eikema, Bryan and Wilker Aziz. 2020 · 2020
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FFR v1.1: Fon-French neural machine translation
Emezue, Chris Chinenye and Femi Pancrace Bonaventure Dossou. 2020 · 2020
Later among the works it cites.
Utility is in the Eye of the User: A Critique of NLP Leaderboards
Ethayarajh, Kawin and Dan Jurafsky. 2020 · 2020
Later among the works it cites.
Language-agnostic bert sentence embedding
Feng, Fangxiaoyu, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, and Wei Wang. 2020 · 2020
Later among the works it cites.
Findings of the WMT 2020 shared tasks in unsupervised MT and very low resource supervised MT
Fraser, Alexander. 2020 · 2020
Later among the works it cites.
Complete multilingual neural machine translation
Freitag, Markus and Orhan Firat. 2020 · 2020
Later among the works it cites.
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages
Goyal, Vikrant, Sourav Kumar, and Dipti Misra Sharma. 2020 · 2020
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Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20
Goyal, Vikrant, Anoop Kunchukuttan, Rahul Kejriwal, Siddharth Jain, and Amit Bhagwat. 2020 · 2020
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Not low-resource anymore: Aligner ensembling, batch filtering, and new datasets for Bengali-English machine translation
Hasan, Tahmid, Abhik Bhattacharjee, Kazi Samin, Masum Hasan, Madhusudan Basak, M. Sohel Rahman, and Rifat Shahriyar. 2020 · 2020
Later among the works it cites.
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
He, Xuanli, Gholamreza Haffari, and Mohammad Norouzi. 2020 · 2020
Later among the works it cites.
The Ubiqus English-Inuktitut System for WMT20
Hernandez, François and Vincent Nguyen. 2020 · 2020
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Sockeye 2: A Toolkit for Neural Machine Translation
Hieber, Felix, Tobias Domhan, Michael Denkowski, and David Vilar. 2020 · 2020
Later among the works it cites.
When and Why is Unsupervised Neural Machine Translation Useless?
Kim, Yunsu, Miguel Graça, and Hermann Ney. 2020 · 2020
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NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications
Knowles, Rebecca, Samuel Larkin, Darlene Stewart, and Patrick Littell. 2020a · 2020
Later among the works it cites.
NRC Systems for the 2020 Inuktitut-English News Translation Task
Knowles, Rebecca, Darlene Stewart, Samuel Larkin, and Patrick Littell. 2020b · 2020
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CUNI Submission for the Inuktitut Language in WMT News 2020
Kocmi, Tom. 2020 · 2020
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Neural Machine Translation
Koehn, Philipp. 2020 · 2020
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Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment
Koehn, Philipp, Vishrav Chaudhary, Ahmed El-Kishky, Naman Goyal, Peng-Jen Chen, and Francisco Guzmán. 2020 · 2020
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The IndicNLP Library
Kunchukuttan, Anoop. 2020 · 2020
Later among the works it cites.
CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20
Kvapilíková, Ivana, Tom Kocmi, and Ondřej Bojar. 2020 · 2020
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Hindi-Marathi Cross Lingual Model
Laskar, Sahinur Rahman, Abdullah Faiz Ur Rahman Khilji, Partha Pakray, and Sivaji Bandyopadhyay. 2020 · 2020
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Gshard: Scaling giant models with conditional computation and automatic sharding
Lepikhin, Dmitry, HyoukJoong Lee, Yuanzhong Xu, Dehao Chen, Orhan Firat, Yanping Huang, Maxim Krikun, Noam Shazeer, and Zhifeng Chen. 2020 · 2020
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SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task
Li, Zuchao, Hai Zhao, Rui Wang, Kehai Chen, Masao Utiyama, and Eiichiro Sumita. 2020 · 2020
Later among the works it cites.
The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task
Libovický, Jindřich, Viktor Hangya, Helmut Schmid, and Alexander Fraser. 2020 · 2020
Later among the works it cites.
Multilingual Denoising Pre-training for Neural Machine Translation
Liu, Yinhan, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, and Luke Zettlemoyer. 2020 · 2020
Later among the works it cites.
When does unsupervised machine translation work?
Marchisio, Kelly, Kevin Duh, and Philipp Koehn. 2020 · 2020
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An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages
Mueller, Aaron, Garrett Nicolai, Arya D. McCarthy, Dylan Lewis, Winston Wu, and David Yarowsky. 2020 · 2020
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Domain Robustness in Neural Machine Translation
Müller, Mathias, Annette Rios, and Rico Sennrich. 2020 · 2020
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Overview of the 7th workshop on Asian translation
Nakazawa, Toshiaki, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondřej Bojar, and Sadao Kurohashi. 2020 · 2020
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Participatory research for low-resourced machine translation: A case study in African languages
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