Back-translation
Back-Translation is a machine translation methodology in which a target-language sentence is translated back into the source language to evaluate or improve the fidelity and fluency of the translation model by leveraging monolingual data through synthetic parallel corpora generation.
607
Publications
29.6K
Citations
2.4K
Authors
956
Institutions
Publications per year
2017–2026
323
Variants
Back Translation
Parents
607
Understanding Back-Translation at Scale
Sergey Edunov, Myle Ott, Michael Auli et al. · 2018 · 1K citations · Full text
Phrase-Based & Neural Unsupervised Machine Translation
Guillaume Lample, Myle Ott, Alexis Conneau et al. · 2018 · 487 citations · Full text
1–5 of 607
2.4K
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National Institute of Information and Communications Technology, Japan
6 publications · 180 citations
6
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1–5 of 2.4K
956
Universidade de São Paulo
São Paulo, Brazil
10 h-index
31 publications
939 citations

University of Edinburgh
Edinburgh, United Kingdom
10 h-index
33 publications
3.9K citations

Peking University
Beijing, China
9 h-index
21 publications
504 citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
26 publications
1.8K citations
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
8 h-index
25 publications
904 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
8 h-index
20 publications
610 citations

National Institute of Information and Communications Technology
Tokyo, Japan
8 h-index
26 publications
814 citations

Universidade Federal de São Paulo
São Paulo, Brazil
8 h-index
21 publications
5K citations
1–8 of 956
Repository · 43 publications · 1.9K citations
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Repository · 45 publications · 1.6K citations
20
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Conference · 9 publications · 281 citations
9
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7 publications · 262 citations
7
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HQLO · 6 publications · 202 citations
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