Machine-assisted Subtitling

Machine-Assisted Subtitling is a subtitling methodology that belongs to the broader class of multilingual subtitling techniques and is distinguished by its integration of automated language processing tools—such as speech recognition, machine translation, and natural language generation—to support, enhance, or accelerate human subtitling workflows while maintaining editorial control and linguistic accuracy.

2

Publications

30

Citations

21

Authors

1

Institutions

Publications per year

2017–2026

1

Authors

21

  1. TM
    Takeshi Mishima

    1 publications · 15 citations

    1

    h-index

  2. SH
    Shinich Homma

    1 publications · 15 citations

    1

    h-index

  3. NS
    Nobumasa Seiyama

    NHK Spring (Japan), Japan

    1 publications · 15 citations

    1

    h-index

  4. AK
    Akio Kobayashi

    The University of Osaka, Japan

    1 publications · 15 citations

    1

    h-index

  5. TH
    Than Htut Soe

    University of Bergen, Norway

    1 publications · 15 citations

    1

    h-index

1–5 of 21

Institutions

1

  1. University of Bergen

    Bergen, Norway

    1 h-index

    3 publications

    45 citations

1–1 of 1

Venues

  1. IEICE Transactions on Information and Systems

    1 publications · 15 citations

    1

    h-index

  2. ACM International Conference on Interactive Media Experiences

    Conference · 1 publications · 15 citations

    1

    h-index

1–2