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Automatic Post-Editing (APE) aims to correct systematic errors in a machine translated text.
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The mathematics of statistical machine translation: Parameter estimation
Peter F Brown, Vincent J Della Pietra, Stephen A Della Pietra, and Robert L Mercer · 1993
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The mathematics of statistical machine translation: Parameter estimation
Peter F. Brown, Vincent J. Della Pietra, Stephen A. Della Pietra, and Robert L. Mercer · 1993
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Automated postediting of documents
Kevin Knight and Ishwar Chander · 1994
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The arpa mt evaluation methodologies: evolution, lessons, and future approaches
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Toward the development of a post editing module for raw machine translation output: A controlled language perspective
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Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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John Blatz, Erin Fitzgerald, George Foster, Simona Gandrabur, Cyril Goutte, Alex Kulesza, Alberto Sanchis, and Nicola Ueffing · 2004
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Statistical Significance Tests for Machine Translation Evaluation
Philipp Koehn · 2004
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie · 2005
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Adaptation of the Translation Model for Statistical Machine Translation based on Information Retrieval
Almut Silja Hildebrand, Matthias Eck, Stephan Vogel, and Alex Waibel · 2005
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Europarl: A parallel corpus for statistical machine translation
Philipp Koehn · 2005
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Transformation-based correction of rule-based mt
Jakob Elming · 2006
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Extremely randomized trees
Pierre Geurts, Damien Ernst, and Louis Wehenkel · 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
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The JRC-Acquis: A Multilingual Aligned Parallel Corpus with 20+ Languages
Ralf Steinberger, Bruno Pouliquen, Anna Widiger, Camelia Ignat, Tomaz Erjavec, Dan Tufis, and Dániel Varga · 2006
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Statistical post-editing on systran’s rule-based translation system
Loïc Dugast, Jean Senellart, and Philipp Koehn · 2007
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Improving translation quality by discarding most of the phrasetable
John Howard Johnson, Joel Martin, George Foster, and Roland Kuhn · 2007
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Factored translation models
Philipp Koehn and Hieu Hoang · 2007
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Moses: Open source toolkit for statistical machine translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, et al · 2007
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Statistical Phrase-Based Post-Editing
Michel Simard, Cyril Goutte, and Pierre Isabelle · 2007
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Rule-based translation with statistical phrase-based post-editing
Michel Simard, Nicola Ueffing, Pierre Isabelle, and Roland Kuhn · 2007
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Rule based machine translation combined with statistical post editor for japanese to english patent translation
Ehara Terumasa · 2007
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Statistical postediting: A valuable method in domain adaptation of rbmt systems for less-resourced languages
A de Ilarraza, Gorka Labaka, and Kepa Sarasola · 2008
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Irstlm: an open source toolkit for handling large scale language models
Marcello Federico, Nicola Bertoldi, and Mauro Cettolo · 2008
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Parallel implementations of word alignment tool
Qin Gao and Stephan Vogel · 2008
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Statistical post editing and dictionary extraction: Systran/edinburgh submissions for acl-wmt2009
Loïc Dugast, Jean Senellart, and Philipp Koehn · 2009
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Statistical post-editing of a rule-based machine translation system
A. L Lagarda, Vicente Alabau, Francisco Casacuberta, Roberto Silva, and Enrique Diaz-de Liano · 2009
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen · 2010
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Incremental re-training for post-editing smt
Daniel Hardt and Jakob Elming · 2010
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Statistical Machine Translation
Philipp Koehn · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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Machine Translation Evaluation versus Quality Estimation
Lucia Specia, Dhwaj Raj, and Marco Turchi · 2010
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Statistical post-editing for a statistical mt system
Hanna Béchara, Yanjun Ma, and Josef van Genabith · 2011
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Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
Jonathan H Clark, Chris Dyer, Alon Lavie, and Noah A Smith · 2011
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Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
John Duchi, Elad Hazan, and Yoram Singer · 2011
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Margin infused relaxed algorithm for moses
Eva Hasler, Barry Haddow, and Philipp Koehn · 2011
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Kenlm: Faster and smaller language model queries
Kenneth Heafield · 2011
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Scikit-learn : Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Mathieu Brucher, Mathieu Perrot, and Édouard Duchesnay · 2011
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Using statistical post-editing to improve the output of rule-based machine translation system
Abdol Hamid Pilevar · 2011
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GNU Parallel - The Command-Line Power Tool
O. Tange · 2011
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An evaluation of statistical post-editing systems applied to rbmt and smt systems
Hanna Béchara, Raphaël Rubino, Yifan He, Yanjun Ma, and Josef van Genabith · 2012
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Findings of the 2012 Workshop on Statistical Machine Translation
Chris Callison-Burch et al · 2012
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Batch tuning strategies for statistical machine translation
Colin Cherry and George Foster · 2012
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Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov · 2012
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Match without a Referee: Evaluating MT Adequacy without Reference Translations
On the evaluation of adaptive machine translation for human post-editing
Luisa Bentivogli, Nicola Bertoldi, Mauro Cettolo, Marcello Federico, Matteo Negri, and Marco Turchi · 2016
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Findings of the 2016 conference on machine translation
Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurelie Neveol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, and Marcos Zampieri · 2016
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Results of the wmt16 metrics shared task
Ondřej Bojar, Yvette Graham, Amir Kamran, and Miloš Stanojević · 2016
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Instance selection for online automatic post-editing in a multi-domain scenario
Rajen Chatterjee, Mihael Arcan, Matteo Negri, and Marco Turchi · 2016
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The fbk participation in the wmt 2016 automatic post-editing shared task
Rajen Chatterjee, José G. C. de Souza, Matteo Negri, and Marco Turchi · 2016
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Yashar Mehdad, Matteo Negri, and Marcello Federico · 2012
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Learning to automatically post-edit dropped words in mt
Jacob Mundt, Kristen Parton, and Kathleen McKeown · 2012
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Towards a better understanding of statistical post-edition usefulness
Marion Potet, Laurent Besacier, Hervé Blanchon, and Marwen Azouzi · 2012
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Statistical Post-Editing of Machine Translation for Domain Adaptation
Raphaël Rubino, Stéphane Huet, Fabrice Lefèvre, and Georges Lenarés · 2012
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DGT-TM: A Freely Available Translation Memory in 22 Languages
Ralf Steinberger, Andreas Eisele, Szymon Klocek, Spyridon Pilos, and Patrick Schlüter · 2012
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Parallel Data, Tools and Interfaces in OPUS
Jörg Tiedemann · 2012
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ADADELTA: an adaptive learning rate method
Matthew D Zeiler · 2012
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Online automatic post-editing across domains
Rajen Chatterjee, Gebremedhen Gebremelak, Matteo Negri, and Marco Turchi · 2016
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Systran’s pure neural machine translation systems
Josep Maria Crego, Jungi Kim, Guillaume Klein, Anabel Rebollo, Kathy Yang, Jean Senellart, Egor Akhanov, Patrice Brunelle, Aurelien Coquard, Yongchao Deng, Satoshi Enoue, Chiyo Geiss, Joshua Johanson, Ardas Khalsa, Raoum Khiari, Byeongil Ko, Catherine Kobus, Jean Lorieux, Leidiana Martins, Dang-Chuan Nguyen, Alexandra Priori, Thomas Riccardi, Natalia Segal, Christophe Servan, Cyril Tiquet, Bo Wang, Jin Yang, Dakun Zhang, Jing Zhou, and Peter Zoldan · 2016
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Fbk’s neural machine translation systems for iwslt 2016
Mohammad Amin Farajian, Rajen Chatterjee, Costanza Conforti, Shahab Jalalvand, Vevake Balaraman, Mattia Di Gangi, Duygu Ataman, Marco Turchi, Matteo Negri, and Marcello Federico · 2016
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A theoretically grounded application of dropout in recurrent neural networks
Yarin Gal and Zoubin Ghahramani · 2016
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Can machine translation systems be evaluated by the crowd alone
Yvette Graham, Timothy Baldwin, Alistair Moffat, and Justin Zobel · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Log-linear combinations of monolingual and bilingual neural machine translation models for automatic post-editing
Marcin Junczys-Dowmunt and Roman Grundkiewicz · 2016
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Ysda participation in the wmt’16 quality estimation shared task
Anna Kozlova, Mariya Shmatova, and Anton Frolov · 2016
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Cuni system for wmt16 automatic post-editing and multimodal translation tasks
Jindřich Libovický, Jindřich Helcl, Marek Tlustý, Ondřej Bojar, and Pavel Pecina · 2016
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Unbabel’s participation in the wmt16 word-level translation quality estimation shared task
André Martins, Ramón Astudillo, Chris Hokamp, and Fabio Kepler · 2016
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Pre-Translation for Neural Machine Translation
Jan Niehues, Eunah Cho, Thanh-Le Ha, and Alex Waibel · 2016
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Online learning for statistical machine translation
Daniel Ortiz-Martínez · 2016
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A neural network based approach to automatic post-editing
Santanu Pal, Sudip Kumar Naskar, Mihaela Vela, and Josef van Genabith · 2016
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USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing
Santanu Pal, Marcos Zampieri, and Josef van Genabith · 2016
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Linguistic Input Features Improve Neural Machine Translation
Rico Sennrich and Barry Haddow · 2016
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Edinburgh Neural Machine Translation Systems for WMT 16
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Syntactically Guided Neural Machine Translation
Felix Stahlberg, Eva Hasler, Aurelien Waite, and Bill Byrne · 2016
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Character: Translation edit rate on character level
Weiyue Wang, Jan-Thorsten Peter, Hendrik Rosendahl, and Hermann Ney · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al · 2016
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Lig-cristal submission for the wmt 2017 automatic post-editing task
Alexandre Berard, Laurent Besacier, and Olivier Pietquin · 2017
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Findings of the 2017 conference on machine translation (wmt17)
Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Shujian Huang, Matthias Huck, Philipp Koehn, Qun Liu, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Raphael Rubino, Lucia Specia, and Marco Turchi · 2017
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Results of the wmt17 metrics shared task
Ondřej Bojar, Yvette Graham, and Amir Kamran · 2017
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Multi-source neural automatic post-editing: Fbk’s participation in the wmt 2017 ape shared task
Rajen Chatterjee, M. Amin Farajian, Matteo Negri, Marco Turchi, Ankit Srivastava, and Santanu Pal · 2017
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Online automatic post-editing for mt in a multi-domain translation environment
Rajen Chatterjee, Gebremedhen Gebremelak, Matteo Negri, and Marco Turchi · 2017
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Guiding neural machine translation decoding with external knowledge
Rajen Chatterjee, Matteo Negri, Marco Turchi, Marcello Federico, Lucia Specia, and Frédéric Blain · 2017
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Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 2017
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"quickedit: Editing text & translations via simple delete actions"
David Grangier and Michael Auli · 2017
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Ensembling factored neural machine translation models for automatic post-editing and quality estimation
Chris Hokamp · 2017
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Lexically constrained decoding for sequence generation using grid beam search
Chris Hokamp and Qun Liu · 2017
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The amu-uedin submission to the wmt 2017 shared task on automatic post-editing
Marcin Junczys-Dowmunt and Roman Grundkiewicz · 2017
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Predictor-estimator using multilevel task learning with stack propagation for neural quality estimation
Hyun Kim, Jong-Hyeok Lee, and Seung-Hoon Na · 2017
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Pushing the limits of translation quality estimation
André Martins, Marcin Junczys-Dowmunt, Fabio Kepler, Ramón Astudillo, Chris Hokamp, and Roman Grundkiewicz · 2017
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Generating titles for millions of browse pages on an e-commerce site
Prashant Mathur, Nicola Ueffing, and Gregor Leusch · 2017
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Neural automatic post-editing using prior alignment and reranking
Santanu Pal, Sudip Kumar Naskar, Mihaela Vela, Qun Liu, and Josef van Genabith · 2017
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Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton · 2017
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Neural post-editing based on quality estimation
Yiming Tan, Zhiming Chen, Liu Huang, Lilin Zhang, Maoxi Li, and Mingwen Wang · 2017
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Cuni system for wmt17 automatic post-editing task
Dusan Varis and Ondřej Bojar · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Findings of the 2018 conference on machine translation (wmt18)
OndÅ™ej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, and Christof Monz · 2018
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Combining quality estimation and automatic post-editing to enhance machine translation output
Rajen Chatterjee, Matteo Negri, Marco Turchi, Frederic Blain, and Lucia Specia · 2018
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Ms-uedin submission to the wmt2018 ape shared task: Dual-source transformer for automatic post-editing
Marcin Junczys-Dowmunt and Roman Grundkiewicz · 2018
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Active learning for interactive neural machine translation of data streams
Álvaro Peris and Francisco Casacuberta · 2018
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Findings of the wmt 2018 shared task on quality estimation
Lucia Specia, Frédéric Blain, Varvara Logacheva, Ramón Astudillo, and André FT Martins · 2018
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Multi-source transformer with combined losses for automatic post editing
Amirhossein Tebbifakhr, Ruchit Agrawal, Rajen Chatterjee, Matteo Negri, and Marco Turchi · 2018
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