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

Authors

1.2K

  1. LS
    Lucia Specia

    University of Sheffield, United Kingdom

    35 publications · 1.9K citations

    21

    h-index

  2. HN
    Hermann Ney

    RWTH Aachen University, Germany

    21 publications · 1.3K citations

    18

    h-index

  3. PK
    Philipp Koehn

    University of Edinburgh, United Kingdom

    17 publications · 3.3K citations

    14

    h-index

  4. MT
    Marco Turchi

    Fondazione Bruno Kessler, Italy

    16 publications · 757 citations

    13

    h-index

  5. CC
    Chris Callison-Burch

    Johns Hopkins University, United States

    13 publications · 2.5K citations

    13

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 45 publications · 2.5K citations

    23

    h-index

  2. 11

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 11 publications · 618 citations

    11

    h-index

  4. Machine Translation

    11 publications · 415 citations

    10

    h-index

  5. Edinburgh Research Explorer (University of Edinburgh)

    Repository · 8 publications · 863 citations

    8

    h-index

1–5