Post-editing Time Analysis

Post-Editing Time Analysis is a metric in the field of Machine Translation Post-Editing that quantifies the temporal effort invested by human editors in refining machine-generated translations, thereby distinguishing itself from other post-editing evaluation methods through its focus on time-based efficiency rather than linguistic quality or error typology.

39

Publications

2K

Citations

98

Authors

35

Institutions

Publications per year

2017–2026

11

Authors

98

  1. LS
    Lucia Specia

    University of Sheffield, United Kingdom

    4 publications · 276 citations

    4

    h-index

  2. MK
    Maarit Koponen

    University of Helsinki, Finland

    3 publications · 185 citations

    3

    h-index

  3. SO
    Sharon O’Brien

    Dublin City University, Ireland

    3 publications · 240 citations

    3

    h-index

  4. SG
    Spence Green

    Stanford University, United States

    2 publications · 245 citations

    2

    h-index

  5. JH
    Jeffrey Heer

    University of Washington, United States

    2 publications · 245 citations

    2

    h-index

1–5 of 98

Venues

  1. SAGE Open

    2 publications · 33 citations

    2

    h-index

  2. Machine Translation

    2 publications · 61 citations

    2

    h-index

  3. Edinburgh Research Explorer (University of Edinburgh)

    Repository · 1 publications · 29 citations

    1

    h-index

  4. Informatics

    1 publications · 32 citations

    1

    h-index

  5. 1

    h-index

1–5