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Domain Adaptation is widely used in practical applications of neural machine translation, which aims to achieve good performance on both the general-domain and in-domain.
Curriculum learning for domain adaptation in neural machine translation
Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, and Kevin Duh. 2019b · 1915
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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SRILM - an extensible language modeling toolkit
Andreas Stolcke. 2002 · 2002
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Clause restructuring for statistical machine translation
Michael Collins, Philipp Koehn, and Ivona Kucerova. 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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Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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Distilling the knowledge in a neural network
Geoffrey E. Hinton, Oriol Vinyals, and Jeffrey Dean. 2015 · 2014
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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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Um-corpus: A large english-chinese parallel corpus for statistical machine translation
Liang Tian, Derek F. Wong, Lidia S. Chao, Paulo Quaresma, Francisco Oliveira, and Lu Yi. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Stanford neural machine translation systems for spoken language domains
Minh-Thang Luong and Christopher D Manning. 2015 · 2015
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Fast domain adaptation for neural machine translation
Markus Freitag and Yaser Al-Onaizan. 2016 · 2016
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Sequence-level knowledge distillation
Yoon Kim and Alexander M. Rush. 2016 · 2016
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Compression of neural machine translation models via pruning
Abigail See, Minh-Thang Luong, and Christopher D. Manning. 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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Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, and Rico Sennrich. 2017 · 2017
Cited alongside, same era.
Effective domain mixing for neural machine translation
Denny Britz, Quoc V. Le, and Reid Pryzant. 2017 · 2017
Cited alongside, same era.
An empirical comparison of simple domain adaptation methods for neural machine translation
Chenhui Chu, Raj Dabre, and Sadao Kurohashi. 2017 · 2017
Cited alongside, same era.
Fine-tuning for neural machine translation with limited degradation across in-and out-of-domain data
Praveen Dakwale and Christof Monz. 2017 · 2017
Cited alongside, same era.
Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin. 2017 · 2017
Cited alongside, same era.
Identifying and controlling important neurons in neural machine translation
Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, and James R. Glass. 2019 · 2019
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Improving domain adaptation translation with domain invariant and specific information
Shuhao Gu, Yang Feng, and Qun Liu. 2019 · 2019
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fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
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Domain adaptive inference for neural machine translation
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, and Bill Byrne. 2019 · 2019
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Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned
Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, and Ivan Titov. 2019 · 2019
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Catherine Kobus, Josep Maria Crego, and Jean Senellart. 2017 · 2017
Cited alongside, same era.
Pruning convolutional neural networks for resource efficient inference
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, and Jan Kautz. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Regularized training objective for continued training for domain adaptation in neural machine translation
Huda Khayrallah, Brian Thompson, Kevin Duh, and Philipp Koehn. 2018 · 2018
Cited alongside, same era.
Extreme adaptation for personalized neural machine translation
Paul Michel and Graham Neubig. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Compact personalized models for neural machine translation
Joern Wuebker, Patrick Simianer, and John DeNero. 2018 · 2018
Cited alongside, same era.
Yong Wang, Longyue Wang, Shuming Shi, Victor O. K. Li, and Zhaopeng Tu. 2019 · 2019
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Iterative dual domain adaptation for neural machine translation
Jiali Zeng, Yang Liu, Jinsong Su, Yubin Ge, Yaojie Lu, Yongjing Yin, and Jiebo Luo. 2019 · 2019
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Distilling multiple domains for neural machine translation
Anna Currey, Prashant Mathur, and Georgiana Dinu. 2020 · 2020
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Investigating catastrophic forgetting during continual training for neural machine translation
Shuhao Gu and Yang Feng. 2020 · 2020
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 2020
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Vocabulary adaptation for domain adaptation in neural machine translation
Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, and Masaru Kitsuregawa. 2020 · 2020
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On the sparsity of neural machine translation models
Yong Wang, Longyue Wang, Victor O. K. Li, and Zhaopeng Tu. 2020a · 2020
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Efficient meta lifelong-learning with limited memory
Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, and Jaime G. Carbonell. 2020b · 2020
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Finding sparse structure for domain specific neural machine translation
Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, and Lei Li. 2020 · 2021
Closest in time.
Overcoming catastrophic forgetting during domain adaptation of neural machine translation
Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh, and Philipp Koehn. 2019 · 2068
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