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Although measuring intrinsic quality has been a key factor in the advancement of Machine Translation (MT), successfully deploying MT requires considering not just intrinsic quality but also the user experience, including aspects such as trust.
SYSTRAN on AltaVista a user study on real-time machine translation on the Internet
Jin Yang and Elke D Lange. 1998 · 1998
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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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The effects of errors on system trust, self-confidence, and the allocation of control in route planning
Peter de Vries, Cees Midden, and Don Bouwhuis. 2003 · 2003
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The role of trust in automation reliance
Mary T Dzindolet, Scott A Peterson, Regina A Pomranky, Linda G Pierce, and Hall P Beck. 2003 · 2003
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METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Manual and Automatic Evaluation of Machine Translation between European Languages
Philipp Koehn and Christof Monz. 2006 · 2006
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(Meta-) Evaluation of Machine Translation
Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, Christof Monz, and Josh Schroeder. 2007 · 2007
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Further Meta-Evaluation of Machine Translation
Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, Christof Monz, and Josh Schroeder. 2008 · 2008
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Findings of the 2009 Workshop on Statistical Machine Translation
Chris Callison-Burch, Philipp Koehn, Christof Monz, and Josh Schroeder. 2009 · 2009
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Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Mark Przybocki, and Omar Zaidan. 2010 · 2010
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Trustrank: Inducing trust in automatic translations via ranking
Radu Soricut and Abdessamad Echihabi. 2010 · 2010
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Findings of the 2011 Workshop on Statistical Machine Translation
Chris Callison-Burch, Philipp Koehn, Christof Monz, and Omar Zaidan. 2011 · 2011
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Translation practice in the workplace: contextual analysis and implications for machine translation
Nikiforos Karamanis, Saturnino Luz, and Gavin Doherty. 2011 · 2011
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Findings of the 2012 Workshop on Statistical Machine Translation
Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia. 2012 · 2012
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Effect of Machine Translation in Interlingual Conversation: Lessons from a Formative Study
Kotaro Hara and Shamsi T. Iqbal. 2015 · 2015
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Neural versus phrase-based machine translation quality: a case study
Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, and Marcello Federico. 2016 · 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 · 2016
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How users adjust trust in automation: Contrast effect and hindsight bias
X Jessie Yang, Christopher D Wickens, and Katja Hölttä-Otto. 2016 · 2016
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Israel Arrests Palestinian Because Facebook Translated ’Good Morning’ to ’Attack Them’
Yotam Berger. 2017 · 2017
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Findings of the 2013 Workshop on Statistical Machine Translation
Ondřej Bojar, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia. 2013 · 2013
Cited alongside, same era.
Continuous measurement scales in human evaluation of machine translation
Yvette Graham, Timothy Baldwin, Alistair Moffat, and Justin Zobel. 2013 · 2013
Cited alongside, same era.
Findings of the 2014 Workshop on Statistical Machine Translation
Ondřej Bojar, Christian Buck, Christian Federmann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, and Aleš Tamchyna. 2014 · 2014
Cited alongside, same era.
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.
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 · 2017
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Can machine translation systems be evaluated by the crowd alone
Yvette Graham, Timothy Baldwin, Alistair Moffat, and Justin Zobel. 2017 · 2017
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Six Challenges for Neural Machine Translation
Philipp Koehn and Rebecca Knowles. 2017 · 2017
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A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions
Antonio Toral and Víctor M. Sánchez-Cartagena. 2017 · 2017
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