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Machine translation systems with inadequate document understanding can make errors when translating dropped or neutral pronouns into languages with gendered pronouns (e.g., English).
HMM-based word alignment in statistical translation
Stephan Vogel, Hermann Ney, and Christoph Tillmann. 1996 · 1996
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HMM-based word alignment in statistical translation
Stephan Vogel, Hermann Ney, and Christoph Tillmann. 1996 · 1996
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Bleu: a method for automatic evaluation of machine translation
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Globally normalized transition-based neural networks
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, and Michael Collins. 2016 · 2016
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”why should I trust you?”: Explaining the predictions of any classifier
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2016 · 2016
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Michał Ziemski, Marcin Junczys-Dowmunt, and Bruno Pouliquen. 2016 · 2016
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Nizar Habash, Nasser Zalmout, Dima Taji, Hieu Hoang, and Maverick Alzate. 2017 · 2017
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Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2017 · 2017
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Findings of the 2017 DiscoMT shared task on cross-lingual pronoun prediction
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Nizar Habash, Nasser Zalmout, Dima Taji, Hieu Hoang, and Maverick Alzate. 2017 · 2017
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
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Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
Kellie Webster, Marta Recasens, Vera Axelrod, and Jason Baldridge. 2018 · 2018
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Improving the transformer translation model with document-level context
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, and Yang Liu. 2018 · 2018
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Rachel Bawden, Rico Sennrich, Alexandra Birch, and Barry Haddow. 2018 · 2018
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Are BLEU and Meaning Representation in Opposition?
Ondrej Cifka and Ondrej Bojar. 2018 · 2018
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Automatic reference-based evaluation of pronoun translation misses the point
Liane Guillou and Christian Hardmeier. 2018 · 2018
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Modeling coherence for neural machine translation with dynamic and topic caches
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Cited alongside, same era.
Findings of the 2017 DiscoMT shared task on cross-lingual pronoun prediction
Sharid Loáiciga, Sara Stymne, Preslav Nakov, Christian Hardmeier, Jörg Tiedemann, Mauro Cettolo, and Yannick Versley. 2017 · 2017
Cited alongside, same era.
Using coreference links to improve spanish-to-english machine translation
Lesly Miculicich Werlen and Andrei Popescu-Belis. 2017a · 2017
Cited alongside, same era.
On integrating discourse in machine translation
Karin Sim Smith. 2017 · 2017
Cited alongside, same era.
Neural machine translation with extended context
Jörg Tiedemann and Yves Scherrer. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Exploiting cross-sentence context for neural machine translation
Longyue Wang, Zhaopeng Tu, Andy Way, and Qun Liu. 2017 · 2017
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Shaohui Kuang, Deyi Xiong, Weihua Luo, and Guodong Zhou. 2018 · 2018
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Has machine translation achieved human parity? a case for document-level evaluation
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A large-scale test set for the evaluation of context-aware pronoun translation in neural machine translation
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Coreference and coherence in neural machine translation: A study using oracle experiments
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Eva Vanmassenhove, Christian Hardmeier, and Andy Way. 2018 · 2018
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Context-aware neural machine translation learns anaphora resolution
Elena Voita, Pavel Serdyukov, Rico Sennrich, and Ivan Titov. 2018 · 2018
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Learning to jointly translate and predict dropped pronouns with a shared reconstruction mechanism
Longyue Wang, Zhaopeng Tu, Andy Way, and Qun Liu. 2018 · 2018
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Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
Kellie Webster, Marta Recasens, Vera Axelrod, and Jason Baldridge. 2018 · 2018
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Improving the transformer translation model with document-level context
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, and Yang Liu. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Automatic gender identification and reinflection in Arabic
Nizar Habash, Houda Bouamor, and Christine Chung. 2019 · 2019
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Filling gender & number gaps in neural machine translation with black-box context injection
Amit Moryossef, Roee Aharoni, and Yoav Goldberg. 2019 · 2019
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Examining gender bias in languages with grammatical gender
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, and Kai-Wei Chang. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Automatic gender identification and reinflection in Arabic
Nizar Habash, Houda Bouamor, and Christine Chung. 2019 · 2019
Later among the works it cites.
Filling gender & number gaps in neural machine translation with black-box context injection
Amit Moryossef, Roee Aharoni, and Yoav Goldberg. 2019 · 2019
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Examining gender bias in languages with grammatical gender
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, and Kai-Wei Chang. 2019 · 2019
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