Subword Tokenization

Subword Tokenization is a text preprocessing method that segments words into subword units by balancing the trade-off between character-level and word-level representations, thereby enabling efficient handling of out-of-vocabulary terms and reducing vocabulary sparsity in natural language processing tasks.

56

Publications

2.9K

Citations

213

Authors

66

Institutions

Publications per year

2017–2026

51

Authors

213

  1. CR
    Colin Raffel

    Google (United States), United States

    3 publications · 413 citations

    3

    h-index

  2. TL
    Thomas Lavergne

    Norwegian Meteorological Institute, Norway

    2 publications · 151 citations

    2

    h-index

  3. HN
    Hiroshi Noji

    Nara Institute of Science and Technology, Japan

    2 publications · 151 citations

    2

    h-index

  4. LX
    Linting Xue

    Google (United States), United States

    2 publications · 307 citations

    2

    h-index

  5. CP
    Chanjun Park

    Korea University, South Korea

    2 publications · 58 citations

    2

    h-index

1–5 of 213

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 624 citations

    12

    h-index

  2. 2

    h-index

  3. IEEE Access

    2 publications · 47 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 139 citations

    2

    h-index

  5. 2

    h-index

1–5