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This work presents a novel approach to Automatic Post-Editing (APE) and Word-Level Quality Estimation (QE) using ensembles of specialized Neural Machine Translation (NMT) systems.
Minimum error rate training in statistical machine translation
Franz Josef Och. 2003 · 2003
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Factored neural language models
Andrei Alexandrescu and Katrin Kirchhoff. 2006 · 2006
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A study of translation edit rate with targeted human annotation
Matthew Snover, Bonnie Dorr, Richard Schwartz, Linnea Micciulla, and John Makhoul. 2006 · 2006
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Rule-based translation with statistical phrase-based post-editing
Michel Simard, Nicola Ueffing, Pierre Isabelle, and Roland Kuhn. 2007 · 2007
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Exploiting objective annotations for measuring translation post-editing effort
Lucia Specia. 2011 · 2011
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The efficacy of human post-editing for language translation
Spence Green, Jeffrey Heer, and Christopher D. Manning. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 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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Findings of the 2015 workshop on statistical machine translation
Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Barry Haddow, Matthias Huck, Chris Hokamp, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Carolina Scarton, Lucia Specia, and Marco Turchi. 2015 · 2015
Cited alongside, same era.
Quality estimation from scratch (quetch): Deep learning for word-level translation quality estimation
Julia Kreutzer, Shigehiko Schamoni, and Stefan Riezler. 2015 · 2015
Cited alongside, same era.
Systran’s pure neural machine translation systems
Josep Crego, Jungi Kim, Guillaume Klein, Anabel Rebollo, Kathy Yang, Jean Senellart, Egor Akhanov, Patrice Brunelle, Aurelien Coquard, Yongchao Deng, et al. 2016 · 2016
Cited alongside, same era.
Multi-way, multilingual neural machine translation with a shared attention mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio. 2016 · 2016
Unbabel’s participation in the wmt16 word-level translation quality estimation shared task
André F. T. Martins, Ramón Astudillo, Chris Hokamp, and Fabio Kepler. 2016 · 2016
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Linguistic input features improve neural machine translation
Rico Sennrich and Barry Haddow. 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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Minimum risk training for neural machine translation
Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 2016
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Multi-source neural translation
Barret Zoph and Kevin Knight. 2016 · 2016
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Pushing the limits of translation quality estimation
André FT Martins, Marcin Junczys-Dowmunt, Fabio N Kepler, Ramón Astudillo, and Chris Hokamp. 2017 · 2017
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Cited alongside, same era.
Log-linear combinations of monolingual and bilingual neural machine translation models for automatic post-editing
Marcin Junczys-Dowmunt and Roman Grundkiewicz. 2016 · 2016
Cited alongside, same era.
MARMOT: A toolkit for translation quality estimation at the word level
Varvara Logacheva, Chris Hokamp, and Lucia Specia. 2016 · 2016
Cited alongside, same era.
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Nematus: a toolkit for neural machine translation
Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Läubli, Antonio Valerio Miceli Barone, Jozef Mokry, and Maria Nadejde. 2017 · 2017
Closest in time.