Multilingual Embeddings

Multilingual Embeddings is a type of distributed representation in natural language processing that maps words or sentences from multiple languages into a shared, continuous vector space, enabling cross-lingual semantic similarity through language-agnostic feature encoding.

247

Publications

14.8K

Citations

676

Authors

202

Institutions

Publications per year

2017–2026

205

Authors

676

  1. IV
    Ivan Vulić

    University of Cambridge, United Kingdom

    11 publications · 613 citations

    11

    h-index

  2. DC
    Daniel Cer

    Google (United States), United States

    8 publications · 1.4K citations

    8

    h-index

  3. HS
    Hinrich Schütze

    Ludwig-Maximilians-Universität München, Germany

    8 publications · 285 citations

    8

    h-index

  4. HS
    Holger Schwenk

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France

    8 publications · 1.2K citations

    8

    h-index

  5. KC
    Kai-Wei Chang

    University of California, Los Angeles, United States

    7 publications · 382 citations

    7

    h-index

1–5 of 676

Venues

  1. arXiv (Cornell University)

    Repository · 46 publications · 3.1K citations

    22

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 134 citations

    5

    h-index

  3. 4

    h-index

  4. 4

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  5. International Conference on Computational Linguistics

    Conference · 3 publications · 68 citations

    3

    h-index

1–5