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While Neural Machine Translation (NMT) represents the leading approach to Machine Translation (MT), the outputs of NMT models still require translation post-editing to rectify errors and enhance quality under critical settings.
Language models are few-shot learners
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Automatic post-editing for machine translation
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Translation Studies
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chrF: character n-gram F-score for automatic MT evaluation
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A call for clarity in reporting BLEU scores
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Automatic post-editing of machine translation: A neural programmer-interpreter approach
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Context-aware monolingual repair for neural machine translation
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Can automatic post-editing improve NMT?
Shamil Chollampatt, Raymond Hendy Susanto, Liling Tan, and Ewa Szymanska. 2020 · 2020
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Machine translation testing via pathological invariance
Shashij Gupta, Pinjia He, Clara Meister, and Zhendong Su. 2020 · 2020
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Structure-invariant testing for machine translation
Pinjia He, Clara Meister, and Zhendong Su. 2020 · 2020
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COMET: A neural framework for MT evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020 · 2020
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A roadmap to neural automatic post-editing: an empirical approach
Dimitar Shterionov, Félix do Carmo, Joss Moorkens, Murhaf Hossari, Joachim Wagner, Eric Paquin, Dag Schmidtke, Declan Groves, and Andy Way. 2020 · 2020
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Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, and Lu Zhang. 2020 · 2020
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Félix do Carmo, Dimitar Shterionov, Joss Moorkens, Joachim Wagner, Murhaf Hossari, Eric Paquin, Dag Schmidtke, Declan Groves, and Andy Way. 2021 · 2021
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Experts, errors, and context: A large-scale study of human evaluation for machine translation
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Testing machine translation via referential transparency
Pinjia He, Clara Meister, and Zhendong Su. 2021 · 2021
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The curious case of hallucinations in neural machine translation
Vikas Raunak, Arul Menezes, and Marcin Junczys-Dowmunt. 2021 · 2021
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Reducing hallucinations in neural machine translation with feature attribution
Joël Tang, Marina Fomicheva, and Lucia Specia. 2022 · 2022
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Automatic post-editing of MT output using large language models
Blanca Vidal, Albert Llorens, and Juan Alonso. 2022 · 2022
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Prompting palm for translation: Assessing strategies and performance
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The unreliability of explanations in few-shot prompting for textual reasoning
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Proceedings of the Seventh Conference on Machine Translation (WMT) . Association for Computational Linguistics, Abu Dhabi, United Arab Emirates (Hybrid)
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