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Neural machine translation inference procedures like beam search generate the most likely output under the model.
RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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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, Chris Dyer, Ondřej Bojar, Alexandra Constantin, and Evan Herbst. 2007 · 2007
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Decoding and diversity in machine translation
Nicholas Roberts, Davis Liang, Graham Neubig, and Zachary C Lipton. 2020 · 2011
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A simple, fast, and effective reparameterization of IBM model 2
Chris Dyer, Victor Chahuneau, and Noah A. Smith. 2013 · 2013
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Report on the 11th IWSLT evaluation campaign, IWSLT 2014
Mauro Cettolo, Jan Niehues, Sebastian Stüker, Luisa Bentivogli, and Marcello Federico. 2014 · 2014
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Man is to computer programmer as woman is to homemaker? Debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
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Is neural machine translation ready for deployment? a case study on 30 translation directions
Marcin Junczys-Dowmunt, Tomasz Dwojak, and Hieu Hoang. 2016 · 2016
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 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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Syntactically guided neural machine translation
Felix Stahlberg, Eva Hasler, Aurelien Waite, and Bill Byrne. 2016 · 2016
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The united nations parallel corpus v1.0
Michał Ziemski, Marcin Junczys-Dowmunt, and Bruno Pouliquen. 2016 · 2016
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spaCy 2: Natural language understanding with bloom embeddings
Matthew Honnibal and Ines Montani. 2017 · 2017
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Neural lattice search for domain adaptation in machine translation
Huda Khayrallah, Gaurav Kumar, Kevin Duh, Matt Post, and Philipp Koehn. 2017 · 2017
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Using coreference links to improve Spanish-to-English machine translation
Lesly Miculicich Werlen and Andrei Popescu-Belis. 2017 · 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 · 2017
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Men also like shopping: Reducing gender bias amplification using corpus-level constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2017 · 2017
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DEMorphy, German language morphological analyzer
Duygu Altinok. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Getting gender right in neural machine translation
Evaluating gender bias in machine translation
Gabriel Stanovsky, Noah A. Smith, and Luke Zettlemoyer. 2019 · 2019
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Mitigating gender bias in natural language processing: Literature review
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang. 2019 · 2019
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Lost in translation: Loss and decay of linguistic richness in machine translation
Eva Vanmassenhove, Dimitar Shterionov, and Andy Way. 2019 · 2019
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Gender-aware reinflection using linguistically enhanced neural models
Bashar Alhafni, Nizar Habash, and Houda Bouamor. 2020 · 2020
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Towards mitigating gender bias in a decoder-based neural machine translation model by adding contextual information
Christine Basta, Marta R. Costa-jussà, and José A. R. Fonollosa. 2020 · 2020
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Eva Vanmassenhove, Christian Hardmeier, and Andy Way. 2018 · 2018
Cited alongside, same era.
Tensor2Tensor for neural machine translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, and Jakob Uszkoreit. 2018 · 2018
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Gender bias in coreference resolution: Evaluation and debiasing methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2018 · 2018
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Findings of the 2019 conference on machine translation (WMT19)
Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, Christof Monz, Mathias Müller, Santanu Pal, Matt Post, and Marcos Zampieri. 2019 · 2019
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Equalizing gender bias in neural machine translation with word embeddings techniques
Joel Escudé Font and Marta R. Costa-jussà. 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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Reducing gender bias in neural machine translation as a domain adaptation problem
Danielle Saunders and Bill Byrne. 2020 · 2020
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Neural machine translation doesn’t translate gender coreference right unless you make it
Danielle Saunders, Rosie Sallis, and Bill Byrne. 2020 · 2020
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Predictive biases in natural language processing models: A conceptual framework and overview
Deven Santosh Shah, H. Andrew Schwartz, and Dirk Hovy. 2020 · 2020
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Mitigating gender bias in machine translation with target gender annotations
Artūrs Stafanovičs, Toms Bergmanis, and Mārcis Pinnis. 2020 · 2020
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On the importance of diversity in question generation for QA
Md Arafat Sultan, Shubham Chandel, Ramón Fernandez Astudillo, and Vittorio Castelli. 2020 · 2020
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Gender bias amplification during speed-quality optimization in neural machine translation
Adithya Renduchintala, Denise Diaz, Kenneth Heafield, Xian Li, and Mona Diab. 2021 · 2021
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They, them, theirs: Rewriting with gender-neutral english
Tony Sun, Kellie Webster, Apu Shah, William Yang Wang, and Melvin Johnson. 2021 · 2021
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Version 3.3: xier pronomen ohne geschlecht
Illi Anna Heger. 2020 · 2022
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