Automatic Mt Evaluation
Automatic MT Evaluation is a computational methodology that distinguishes itself from manual and human-based assessment approaches by enabling the systematic, objective, and scalable scoring of machine-translated output against reference translations through algorithmically defined metrics or models.
322
Publications
31.4K
Citations
744
Authors
199
Institutions
Publications per year
2017–2026
95
Variants
Automated Machine Translation Evaluation
Parents
322
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu et al. · arXiv (Cornell University) · 2019 · 2K citations · Full text
chrF: character n-gram F-score for automatic MT evaluation
Maja Popović · 2015 · 970 citations · Full text
1–5 of 322
744
13
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13
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11
h-index
10
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Hong Kong University of Science and Technology, Hong Kong SAR China
10 publications · 428 citations
10
h-index
1–5 of 744
199
Dublin City University
Dublin, Ireland
18 h-index
60 publications
3.2K citations

University of Edinburgh
Edinburgh, United Kingdom
12 h-index
22 publications
2.4K citations
Universitat Politècnica de Catalunya
Barcelona, Spain
12 h-index
31 publications
955 citations
Charles University
Prague, Czechia
12 h-index
36 publications
2K citations

Johns Hopkins University
Baltimore, United States
11 h-index
17 publications
1.7K citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
8 h-index
10 publications
221 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
8 h-index
19 publications
1.3K citations
RWTH Aachen University
Aachen, Germany
7 h-index
11 publications
722 citations
1–8 of 199
Repository · 16 publications · 3.8K citations
14
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8 publications · 314 citations
8
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Repository · 6 publications · 168 citations
6
h-index
6 publications · 599 citations
6
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TASLP · 4 publications · 134 citations
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