Subword Language Modeling

Subword Language Modeling is a language modeling approach that, as a method within natural language processing, generates and assigns probabilities to text sequences by representing words as sequences of subword units rather than whole words or individual characters, thereby balancing vocabulary richness with computational efficiency in handling out-of-vocabulary terms.

81

Publications

3.2K

Citations

245

Authors

88

Institutions

Publications per year

2017–2026

39

Authors

245

  1. MK
    Mikko Kurimo

    Aalto University, Finland

    6 publications · 281 citations

    6

    h-index

  2. MS
    Murat Saraçlar

    Boğaziçi University, Türkiye

    5 publications · 252 citations

    5

    h-index

  3. CL
    Chin‐Hui Lee

    Georgia Institute of Technology, United States

    5 publications · 103 citations

    5

    h-index

  4. TH
    Teemu Hirsimäki

    Aalto University, Finland

    4 publications · 230 citations

    4

    h-index

  5. MC
    Mathias Creutz

    Aalto University, Finland

    3 publications · 214 citations

    3

    h-index

1–5 of 245

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 319 citations

    6

    h-index

  2. Speech Communication

    3 publications · 218 citations

    3

    h-index

  3. 2

    h-index

  4. Computer Speech & Language

    2 publications · 44 citations

    2

    h-index

  5. 2

    h-index

1–5