Source Text Segmentation

Source Text Segmentation is the analytical process of dividing a source text into coherent units of meaning for the purpose of facilitating accurate and contextually appropriate simultaneous interpretation.

3

Publications

103

Citations

8

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

8

  1. RK
    Roman Kern

    Know Center Research GmbH (Austria), Austria

    1 publications · 31 citations

    1

    h-index

  2. MM
    Markus Muhr

    Know Center Research GmbH (Austria), Austria

    1 publications · 31 citations

    1

    h-index

  3. MZ
    Mario Zechner

    Know Center Research GmbH (Austria), Austria

    1 publications · 31 citations

    1

    h-index

  4. JG
    Jianfeng Gao

    Microsoft (United States), United States

    1 publications · 61 citations

    1

    h-index

  5. ML
    Mu Li

    Amazon (Germany), Germany

    1 publications · 61 citations

    1

    h-index

1–5 of 8

Institutions

2

  1. Microsoft Research Asia (China)

    Beijing, China

    1 h-index

    3 publications

    183 citations

  2. Know Center Research GmbH (Austria)

    Graz, Austria

    1 h-index

    2 publications

    62 citations

1–2 of 2

Venues

  1. OpenstarTs (Univeristy of Trieste https://www.units.it/)

    Repository · 1 publications · 11 citations

    1

    h-index

1–1