Interactive Machine Translation

Interactive Machine Translation is a machine translation paradigm that integrates real-time human input during the translation process to iteratively refine and improve output, distinguishing it from conventional fully automated or post-editing approaches by enabling bidirectional collaboration between human and machine.

97

Publications

4.2K

Citations

227

Authors

68

Institutions

Publications per year

2017–2026

28

Authors

227

  1. FC
    Francisco Casacuberta

    Universitat Politècnica de València, Spain

    23 publications · 705 citations

    17

    h-index

  2. DO
    Daniel Ortiz-Martínez

    Universitat Politècnica de València, Spain

    16 publications · 392 citations

    13

    h-index

  3. PK
    Philipp Koehn

    University of Edinburgh, United Kingdom

    8 publications · 328 citations

    8

    h-index

  4. JG
    Jesús González-Rubio

    University of Castilla-La Mancha, Spain

    7 publications · 163 citations

    7

    h-index

  5. VA
    Vicent Alabau

    Universitat Politècnica de València, Spain

    7 publications · 191 citations

    7

    h-index

1–5 of 227

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 157 citations

    7

    h-index

  2. Machine Translation

    3 publications · 103 citations

    4

    h-index

  3. 3

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 85 citations

    3

    h-index

  5. RiuNet (Politechnical University of Valencia)

    Repository · 2 publications · 93 citations

    2

    h-index

1–5