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

Authors

2.4K

  1. RS
    Rico Sennrich

    University of Edinburgh, United Kingdom

    8 publications · 802 citations

    8

    h-index

  2. MO
    Myle Ott

    Meta (Israel), Israel

    7 publications · 2.2K citations

    7

    h-index

  3. SL
    Shujie Liu

    Microsoft Research Asia (China), China

    7 publications · 272 citations

    7

    h-index

  4. SR
    Shuo Ren

    Microsoft Research Asia (China), China

    6 publications · 252 citations

    6

    h-index

  5. AF
    Atsushi Fujita

    National Institute of Information and Communications Technology, Japan

    6 publications · 180 citations

    6

    h-index

1–5 of 2.4K

Venues

  1. PubMed

    Repository · 43 publications · 1.9K citations

    23

    h-index

  2. arXiv (Cornell University)

    Repository · 45 publications · 1.6K citations

    20

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 9 publications · 281 citations

    9

    h-index

  4. PLoS ONE

    7 publications · 262 citations

    7

    h-index

  5. Health and Quality of Life Outcomes

    HQLO · 6 publications · 202 citations

    6

    h-index

1–5