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Machine Translation Quality Estimation (QE) is the task of evaluating translation output in the absence of human-written references.
On information and sufficiency
Solomon Kullback and Richard A Leibler. 1951 · 1951
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Translationese in swedish novels translated from english
Martin Gellerstam. 1986 · 1986
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Divergence measures based on the shannon entropy
Jianhua Lin. 1991 · 1991
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Translations as a source for cross-linguistic studies
Martin Gellerstam. 1996 · 1996
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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 · 2006
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Estimating the sentence-level quality of machine translation systems
Lucia Specia, Marco Turchi, Nicola Cancedda, Nello Cristianini, and Marc Dymetman. 2009 · 2009
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Predictor-estimator: Neural quality estimation based on target word prediction for machine translation
Hyun Kim, Hun-Young Jung, Hong-Seok Kwon, Jong-Hyeok Lee, and Seung-Hoon Na. 2017 · 2017
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Tagged back-translation
Isaac Caswell, Ciprian Chelba, and David Grangier. 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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Post-editese: an exacerbated translationese
Antonio Toral. 2019 · 2019
Cited alongside, same era.
PATQUEST: papago translation quality estimation
Yujin Baek, Zae Myung Kim, Jihyung Moon, Hyunjoong Kim, and Eunjeong L. Park. 2020 · 2020
Cited alongside, same era.
How human is machine translationese? comparing human and machine translations of text and speech
Yuri Bizzoni, Tom S. Juzek, Cristina España-Bonet, and Others. 2020 · 2020
Cited alongside, same era.
Context-aware cross-attention for non-autoregressive translation
Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, and Zhaopeng Tu. 2020 · 2020
Cited alongside, same era.
Statistical power and translationese in machine translation evaluation
Yvette Graham, Barry Haddow, and Philipp Koehn. 2020 · 2020
Cited alongside, same era.
Two-phase cross-lingual language model fine-tuning for machine translation quality estimation
Findings of the WMT 2020 shared task on quality estimation
Lucia Specia, Frédéric Blain, Marina Fomicheva, Erick Rocha Fonseca, et al. 2020 · 2020
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Tencent submission for WMT20 quality estimation shared task
Haijiang Wu, Zixuan Wang, Qingsong Ma, et al. 2020 · 2020
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The effect of translationese in machine translation test sets
Mike Zhang and Antonio Toral. 2019 · 2020
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Results of the WMT21 metrics shared task: Evaluating metrics with expert-based human evaluations on TED and news domain
Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, George Foster, Alon Lavie, and Ondřej Bojar. 2021 · 2021
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Findings of the wmt 2021 shared task on quality estimation
Lucia Specia, Frédéric Blain, Marina Fomicheva, et al. 2021 · 2021
Later among the works it cites.
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Dongjun Lee. 2020 · 2020
Cited alongside, same era.
Tagged back-translation revisited: Why does it really work?
Benjamin Marie, Raphael Rubino, and Atsushi Fujita. 2020 · 2020
Cited alongside, same era.
Transquest: Translation quality estimation with cross-lingual transformers
Tharindu Ranasinghe, Constantin Orǎsan, and Ruslan Mitkov. 2020 · 2020
Cited alongside, same era.
Translationese as a language in “multilingual” nmt
Parker Riley, Isaac Caswell, Markus Freitag, and David Grangier. 2020 · 2020
Cited alongside, same era.
Rejuvenating low-frequency words: Making the most of parallel data in non-autoregressive translation
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, and Zhaopeng Tu. 2021a
Cited in the paper.
Understanding and improving lexical choice in non-autoregressive translation
Liang Ding, Longyue Wang, Xuebo Liu, Derek F Wong, Dacheng Tao, and Zhaopeng Tu. 2021b
Cited in the paper.
On the language coverage bias for neural machine translation
Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, and Yang Liu. 2021 · 2021
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Ist-unbabel 2021 submission for the quality estimation shared task
Chrysoula Zerva, Daan Van Stigt, Ricardo Rei, et al. 2021 · 2021
Later among the works it cites.
Findings of the wmt 2022 shared task on quality estimation
Chrysoula Zerva, Frédéric Blain, Ricardo Rei, Piyawat Lertvittayakumjorn, et al. 2022 · 2022
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