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Most studies on word-level Quality Estimation (QE) of machine translation focus on language-specific models.
Estimating the sentence-level quality of machine translation systems
Lucia Specia, Marco Turchi, Nicola Cancedda, Nello Cristianini, and Marc Dymetman. 2009 · 2009
Earlier work this paper cites.
Multi-level translation quality prediction with QuEst++
Lucia Specia, Gustavo Paetzold, and Carolina Scarton. 2015 · 2015
Earlier work this paper cites.
MARMOT: A toolkit for translation quality estimation at the word level
Varvara Logacheva, Chris Hokamp, and Lucia Specia. 2016 · 2016
Earlier work this paper cites.
Large-scale multitask learning for machine translation quality estimation
Kashif Shah and Lucia Specia. 2016 · 2016
Earlier work this paper cites.
Transfer learning across low-resource, related languages for neural machine translation
Toan Q. Nguyen and David Chiang. 2017 · 2017
Earlier work this paper cites.
deepQuest: A framework for neural-based quality estimation
Julia Ive, Frédéric Blain, and Lucia Specia. 2018 · 2018
Earlier work this paper cites.
Findings of the WMT 2018 shared task on quality estimation
Lucia Specia, Frédéric Blain, Varvara Logacheva, Ramón F. Astudillo, and André F. T. Martins. 2018 · 2018
Earlier work this paper cites.
Massively multilingual neural machine translation
Roee Aharoni, Melvin Johnson, and Orhan Firat. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Findings of the WMT 2019 shared tasks on quality estimation
Erick Fonseca, Lisa Yankovskaya, André F. T. Martins, Mark Fishel, and Christian Federmann. 2019 · 2019
Cited alongside, same era.
OpenKiwi: An open source framework for quality estimation
Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, and André F. T. Martins. 2019 · 2019
Cited alongside, same era.
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 · 2019
Cited alongside, same era.
Two-phase cross-lingual language model fine-tuning for machine translation quality estimation
Dongjun Lee. 2020 · 2020
Later among the works it cites.
Multilingual offensive language identification with cross-lingual embeddings
Tharindu Ranasinghe and Marcos Zampieri. 2020 · 2020
Later among the works it cites.
Findings of the WMT 2020 shared task on quality estimation
Lucia Specia, Frédéric Blain, Marina Fomicheva, Erick Fonseca, Vishrav Chaudhary, Francisco Guzmán, and André F. T. Martins. 2020 · 2020
Later among the works it cites.
An exploratory study on multilingual quality estimation
Shuo Sun, Marina Fomicheva, Frédéric Blain, Vishrav Chaudhary, Ahmed El-Kishky, Adithya Renduchintala, Francisco Guzmán, and Lucia Specia. 2020 · 2020
Later among the works it cites.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
Later among the works it cites.
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task
Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Vishrav Chaudhary, Mark Fishel, Francisco Guzmán, and Lucia Specia. 2020 · 2020
Cited alongside, same era.
TransQuest at WMT2020: Sentence-level direct assessment
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov. 2020a
Cited in the paper.
TransQuest: Translation quality estimation with cross-lingual transformers
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov. 2020b
Cited in the paper.
MUDES: Multilingual detection of offensive spans
Tharindu Ranasinghe and Marcos Zampieri. 2021 · 2021
Closest in time.