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

Authors

744

  1. OB
    Ondřej Bojar

    Charles University, Czechia

    17 publications · 996 citations

    13

    h-index

  2. AW
    Andy Way

    Dublin City University, Ireland

    16 publications · 658 citations

    13

    h-index

  3. LM
    Lluı́s Màrquez

    Universitat Politècnica de Catalunya, Spain

    11 publications · 347 citations

    11

    h-index

  4. JG
    Jesús Giménez

    Universitat Politècnica de Catalunya, Spain

    11 publications · 339 citations

    10

    h-index

  5. CL
    Chi-kiu Lo

    Hong Kong University of Science and Technology, Hong Kong SAR China

    10 publications · 428 citations

    10

    h-index

1–5 of 744

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 3.8K citations

    14

    h-index

  2. 8

    h-index

  3. Arrow@dit (Dublin Institute of Technology)

    Repository · 6 publications · 168 citations

    6

    h-index

  4. Machine Translation

    6 publications · 599 citations

    6

    h-index

  5. 4

    h-index

1–5