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To improve low-resource Neural Machine Translation (NMT) with multilingual corpora, training on the most related high-resource language only is often more effective than using all data available (Neubig and Hu, 2018).
Europarl: A parallel corpus for statistical machine translation
Philipp Koehn. 2005 · 2005
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Intelligent selection of language model training data
Robert C. Moore and William D. Lewis. 2010 · 2010
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Domain adaptation via pseudo in-domain data selection
Amittai Axelrod, Xiaodong He, and Jianfeng Gao. 2011 · 2011
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Better hypothesis testing for statistical machine translation: Controlling for optimizer instability
Jonathan Clark, Chris Dyer, Alon Lavie, and Noah Smith. 2011 · 2011
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Parallel data, tools and interfaces in opus
Jörg Tiedemann. 2012 · 2012
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Adaptation data selection using neural language models: Experiments in machine translation
Kevin Duh, Graham Neubig, Katsuhito Sudoh, and Hajime Tsukada. 2013 · 2013
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Multi-way, multilingual neural machine translation with a shared attention mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio. 2016 · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Transfer learning for low resource neural machine translation
Barret Zoph, Deniz Yuret, Jonathan May, and Kevin Knight. 2016 · 2016
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Cost weighting for neural machine translation domain adaptation
Boxing Chen, Colin Cherry, George Foster, and Samuel Larkin. 2017 · 2017
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Copied monolingual data improves low-resource neural machine translation
Anna Currey, Antonio Valerio Miceli Barone, and Kenneth Heafield. 2017 · 2017
Cited alongside, same era.
Sentence embedding for neural machine translation domain adaptation
Universal neural machine translation for extremely low resource languages
Jiatao Gu, Hany Hassan, Jacob Devlin, and Victor O. K. Li. 2018 · 2018
Later among the works it cites.
Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson. 2018 · 2018
Later among the works it cites.
Rapid adaptation of neural machine translation to new languages
Graham Neubig and Junjie Hu. 2018 · 2018
Later among the works it cites.
Transfer learning across low-resource, related languages for neural machine translation
Toan Q. Nguyen and David Chiang. 2018 · 2018
Later among the works it cites.
When and why are pre-trained word embeddings useful for neural machine translation?
Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Padmanabhan, and Graham Neubig. 2018 · 2018
Later among the works it cites.
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Rui Wang, Andrew Finch, Masao Utiyama, and Eiichiro Sumita. 2017 · 2017
Cited alongside, same era.
Dynamic data selection for neural machine translation
Marlies van der Wees, Arianna Bisazza, and Christof Monz. 2017 · 2017
Cited alongside, same era.
Xinyi Wang, Hieu Pham, Zihang Dai, and Graham Neubig. 2018 · 2018
Later among the works it cites.
Multilingual neural machine translation with soft decoupled encoding
Xinyi Wang, Hieu Pham, Philip Arthur, and Graham Neubig. 2019 · 2019
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