Translation Quality Estimation
Translation Quality Estimation is a computational task in machine translation that, as a method, involves predicting the quality of a translated text without relying on reference translations, thereby distinguishing it from traditional evaluation metrics that require human-annotated references.
619
Publications
46.8K
Citations
1.2K
Authors
357
Institutions
Publications per year
2017–2026
216
Variants
Qe
619
A Study of Translation Edit Rate with Targeted Human Annotation
Matthew Snover, Bonnie J. Dorr, Richard Schwartz et al. · 2006 · 2.4K citations
Statistical Significance Tests for Machine Translation Evaluation.
Philipp Koehn · 2004 · 1.5K citations
1–5 of 619
1.2K
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13
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1–5 of 1.2K
357
Carnegie Mellon University
Pittsburgh, United States
23 h-index
83 publications
9.3K citations
University of Sheffield
Sheffield, United Kingdom
20 h-index
68 publications
3.2K citations
Dublin City University
Dublin, Ireland
18 h-index
52 publications
1.9K citations

University of Edinburgh
Edinburgh, United Kingdom
17 h-index
36 publications
3.5K citations
RWTH Aachen University
Aachen, Germany
17 h-index
49 publications
2.8K citations

Johns Hopkins University
Baltimore, United States
15 h-index
25 publications
3.4K citations
Google (United States)
Mountain View, United States
13 h-index
44 publications
2.3K citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
12 h-index
17 publications
1.1K citations
1–8 of 357
Repository · 45 publications · 2.5K citations
23
h-index
12 publications · 635 citations
11
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Conference · 11 publications · 618 citations
11
h-index
11 publications · 415 citations
10
h-index
Repository · 8 publications · 863 citations
8
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1–5