Human-machine Translation Interaction

Human-Machine Translation Interaction is a translation framework that integrates human input and machine translation processes in a bidirectional, iterative manner to enhance translation quality, accuracy, and contextual adaptability through continuous feedback and collaborative decision-making.

129

Publications

28.7K

Citations

320

Authors

125

Institutions

Publications per year

2017–2026

41

Authors

320

  1. FC
    Francisco Casacuberta

    Universitat Politècnica de València, Spain

    14 publications · 365 citations

    13

    h-index

  2. DO
    Daniel Ortiz-Martínez

    Universitat Politècnica de València, Spain

    10 publications · 236 citations

    10

    h-index

  3. GF
    George Foster

    National Research Council Canada, Canada

    8 publications · 326 citations

    8

    h-index

  4. GL
    Guy Lapalme

    Université de Montréal, Canada

    8 publications · 359 citations

    8

    h-index

  5. PK
    Philipp Koehn

    University of Edinburgh, United Kingdom

    7 publications · 298 citations

    7

    h-index

1–5 of 320

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 85 citations

    3

    h-index

  2. Perspectives

    3 publications · 49 citations

    3

    h-index

  3. Machine Translation

    3 publications · 111 citations

    3

    h-index

  4. Translation and Interpreting Studies

    TIS · 2 publications · 75 citations

    2

    h-index

  5. Communications of the ACM

    2 publications · 79 citations

    2

    h-index

1–5