Multilingual Text Generation

Multilingual Text Generation is a subfield of natural language generation that specifically focuses on the automated production of coherent and contextually appropriate text across multiple languages, distinguishing it from monolingual text generation by its intrinsic requirement to handle linguistic diversity and cross-lingual semantic alignment.

192

Publications

10K

Citations

733

Authors

230

Institutions

Publications per year

2017–2026

87

Authors

733

  1. MK
    Mihir Kale

    Google (United States), United States

    7 publications · 2.4K citations

    7

    h-index

  2. DS
    Donia Scott

    University of Brighton, United Kingdom

    7 publications · 336 citations

    7

    h-index

  3. JB
    John Bateman

    University of Bremen, Germany

    6 publications · 301 citations

    6

    h-index

  4. SM
    Simon Mille

    Universitat Pompeu Fabra, Spain

    5 publications · 297 citations

    5

    h-index

  5. RP
    Richard Power

    University of Brighton, United Kingdom

    5 publications · 269 citations

    5

    h-index

1–5 of 733

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 1.3K citations

    16

    h-index

  2. Machine Translation

    6 publications · 136 citations

    6

    h-index

  3. 3

    h-index

  4. Expert Systems with Applications

    3 publications · 53 citations

    3

    h-index

  5. Natural Language Engineering

    3 publications · 238 citations

    3

    h-index

1–5