Zero-shot Machine Translation

Zero-Shot Machine Translation is a machine translation approach that enables a model to translate between language pairs without explicit training on those specific language directions, by leveraging multilingual training and cross-lingual generalization capabilities inherent in the model.

75

Publications

5.2K

Citations

306

Authors

61

Institutions

Publications per year

2017–2026

71

Variants

Zero-shot Neural Machine TranslationZero-shot Nmt

Authors

306

  1. SM
    Surafel M. Lakew

    Fondazione Bruno Kessler, Italy

    6 publications · 190 citations

    6

    h-index

  2. MF
    Marcello Federico

    Fondazione Bruno Kessler, Italy

    6 publications · 190 citations

    6

    h-index

  3. JG
    Jiatao Gu

    Meta (Israel), Israel

    5 publications · 483 citations

    5

    h-index

  4. AB
    Ankur Bapna

    Google (United States), United States

    4 publications · 193 citations

    4

    h-index

  5. MT
    Marco Turchi

    Fondazione Bruno Kessler, Italy

    4 publications · 80 citations

    4

    h-index

1–5 of 306

Venues

  1. arXiv (Cornell University)

    Repository · 27 publications · 1.1K citations

    19

    h-index

  2. 3

    h-index

  3. 2

    h-index

  4. International Conference on Computational Linguistics

    Conference · 2 publications · 88 citations

    2

    h-index

  5. 1

    h-index

1–5