Statistical Text Normalization

Statistical Text Normalization is a text normalization approach that employs probabilistic models and statistical learning techniques to map non-standard text into standardized forms based on data-driven inference of linguistic regularities.

48

Publications

3.7K

Citations

124

Authors

53

Institutions

Publications per year

2017–2026

9

Authors

124

  1. EM
    Eetu Mäkelä

    Aalto University, Finland

    2 publications · 26 citations

    2

    h-index

  2. YL
    Yang Liu

    Nanyang Technological University, Singapore

    2 publications · 83 citations

    2

    h-index

  3. AL
    Alon Lavie

    Carnegie Mellon University, United States

    2 publications · 378 citations

    2

    h-index

  4. JN
    Joakim Nivre

    Uppsala University, Sweden

    2 publications · 44 citations

    2

    h-index

  5. DL
    Deana L. Pennell

    The University of Texas at Dallas, United States

    2 publications · 83 citations

    2

    h-index

1–5 of 124

Venues

  1. DSpace repository (University of Tartu)

    Repository · 1 publications · 10 citations

    1

    h-index

  2. Information Sciences

    1 publications · 30 citations

    1

    h-index

  3. Computational Linguistics

    1 publications · 93 citations

    1

    h-index

  4. SSRN Electronic Journal

    Repository · 1 publications · 81 citations

    1

    h-index

  5. Literary and Linguistic Computing

    LLC · 1 publications · 37 citations

    1

    h-index

1–5