Multilingual Topic Modeling

Multilingual Topic Modeling is a topic modeling approach that extends monolingual topic inference to multiple languages by jointly analyzing text corpora across linguistic boundaries, thereby enabling cross-lingual topic alignment and comparison.

47

Publications

2.2K

Citations

123

Authors

58

Institutions

Publications per year

2017–2026

23

Authors

123

  1. JB
    Jordan Boyd‐Graber

    University of Maryland, College Park, United States

    8 publications · 633 citations

    8

    h-index

  2. MM
    Marie‐Francine Moens

    KU Leuven, Belgium

    7 publications · 429 citations

    7

    h-index

  3. IV
    Ivan Vulić

    University of Cambridge, United Kingdom

    6 publications · 401 citations

    6

    h-index

  4. MJ
    Michael J. Paul

    Johns Hopkins University, United States

    3 publications · 76 citations

    3

    h-index

  5. WD
    Wim De Smet

    KU Leuven, Belgium

    3 publications · 221 citations

    3

    h-index

1–5 of 123

Venues

  1. Communication Methods and Measures

    CMM · 2 publications · 77 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 55 citations

    2

    h-index

  3. Lirias (KU Leuven)

    Repository · 2 publications · 139 citations

    2

    h-index

  4. Neural Information Processing Systems

    Conference · 1 publications · 20 citations

    1

    h-index

  5. Information Processing & Management

    1 publications · 101 citations

    1

    h-index

1–5