Morphological Embeddings

Morphological Embeddings is a type of word representation in natural language processing that encodes the internal structure of words by modeling subword units such as morphemes, thereby capturing fine-grained linguistic regularities arising from affixation, inflection, and derivation.

68

Publications

2.6K

Citations

182

Authors

73

Institutions

Publications per year

2017–2026

47

Authors

182

  1. HS
    Hinrich Schütze

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 122 citations

    3

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  2. NH
    Nizar Habash

    Columbia University, United States

    3 publications · 81 citations

    3

    h-index

  3. JV
    Josef van Genabith

    Dublin City University, Ireland

    2 publications · 58 citations

    2

    h-index

  4. GH
    Georg Heigold

    RWTH Aachen University, Germany

    2 publications · 58 citations

    2

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  5. SJ
    Shafiq Joty

    Nanyang Technological University, Singapore

    2 publications · 114 citations

    2

    h-index

1–5 of 182

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 241 citations

    6

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  2. Natural Language Engineering

    2 publications · 37 citations

    2

    h-index

  3. 1

    h-index

  4. Lund University Publications (Lund University)

    Repository · 1 publications · 16 citations

    1

    h-index

  5. Americanae (AECID Library)

    Repository · 1 publications · 70 citations

    1

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1–5