N-gram Classification

N-Gram Classification is a computational linguistic method that categorizes sequences of n-adjacent tokens in textual data according to predefined lexical, syntactic, or semantic criteria within natural language processing tasks.

247

Publications

13.5K

Citations

700

Authors

267

Institutions

Publications per year

2017–2026

88

Authors

700

  1. VK
    Vlado Kešelj

    Dalhousie University, Canada

    5 publications · 420 citations

    5

    h-index

  2. MZ
    Marcos Zampieri

    University of Wolverhampton, United Kingdom

    4 publications · 170 citations

    4

    h-index

  3. PD
    Prémkumar Dévanbu

    University of California, Davis, United States

    4 publications · 1.3K citations

    4

    h-index

  4. ET
    Earl T. Barr

    University College London, United Kingdom

    3 publications · 1.3K citations

    3

    h-index

  5. GS
    Grigori Sidorov

    Instituto Politécnico Nacional, Mexico

    3 publications · 349 citations

    3

    h-index

1–5 of 700

Venues

  1. International Conference on Computational Linguistics

    Conference · 6 publications · 790 citations

    6

    h-index

  2. Procedia Computer Science

    5 publications · 479 citations

    5

    h-index

  3. IEEE Access

    5 publications · 142 citations

    5

    h-index

  4. Expert Systems with Applications

    2 publications · 906 citations

    2

    h-index

  5. 2

    h-index

1–5