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

Authors

454

  1. LS
    Lucia Specia

    University of Sheffield, United Kingdom

    15 publications · 857 citations

    15

    h-index

  2. MN
    Matteo Negri

    Fondazione Bruno Kessler, Italy

    14 publications · 259 citations

    12

    h-index

  3. MT
    Marco Turchi

    Fondazione Bruno Kessler, Italy

    16 publications · 534 citations

    12

    h-index

  4. JG
    José G. C. de Souza

    University of Sheffield, United Kingdom

    12 publications · 313 citations

    12

    h-index

  5. AF
    André F. T. Martins

    Instituto de Telecomunicações, Portugal

    5 publications · 275 citations

    5

    h-index

1–5 of 454

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 108 citations

    5

    h-index

  2. Machine Translation

    3 publications · 41 citations

    3

    h-index

  3. 3

    h-index

  4. 2

    h-index

  5. Arrow@dit (Dublin Institute of Technology)

    Repository · 2 publications · 56 citations

    2

    h-index

1–5