Automated Quality Estimation
Automated Quality Estimation is a computational methodology within machine translation evaluation that predicts the quality of translated text without reliance on human reference translations by leveraging linguistic, statistical, and neural features derived from source and target texts.
131
Publications
5.2K
Citations
454
Authors
223
Institutions
Publications per year
2017–2026
51
Variants
QeQuality Estimation
131
An Open Resource for Non-human Primate Imaging
Michael P. Milham, Lei Ai, Bonhwang Koo et al. · Neuron · 2018 · 282 citations · Full text
Estimating the Sentence-Level Quality of Machine Translation Systems
Lucia Specia, Marco Turchi, Nicola Cancedda et al. · 2009 · 219 citations
Computing, Computer Science, Corpus-based Translation Studies +12
Learning to estimate query difficulty
Elad Yom‐Tov, Shai Fine, David Carmel et al. · 2005 · 199 citations
1–5 of 131
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223
University of Sheffield
Sheffield, United Kingdom
14 h-index
26 publications
1.2K citations
Fondazione Bruno Kessler
Trento, Italy
9 h-index
30 publications
521 citations
Dublin City University
Dublin, Ireland
7 h-index
9 publications
252 citations
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
Lisbon, Portugal
6 h-index
12 publications
762 citations

University of Edinburgh
Edinburgh, United Kingdom
5 h-index
6 publications
252 citations
Tsinghua University
Beijing, China
5 h-index
13 publications
592 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
13 publications
791 citations
Instituto de Telecomunicações
Lisbon, Portugal
4 h-index
12 publications
754 citations
1–8 of 223
Repository · 5 publications · 108 citations
5
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3 publications · 41 citations
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TACL · 3 publications · 185 citations
3
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2 publications · 40 citations
2
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Repository · 2 publications · 56 citations
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