N-gram Extraction

N-Gram Extraction is a computational linguistics technique that identifies and isolates contiguous sequences of n items—such as words, syllables, or characters—from a given text corpus to enable quantitative language analysis, distinguished by its focus on fixed-length co-occurring linguistic units for downstream natural language processing tasks.

94

Publications

3.3K

Citations

317

Authors

132

Institutions

Publications per year

2017–2026

31

Authors

317

  1. FS
    Frank Smadja

    Columbia University, United States

    2 publications · 63 citations

    2

    h-index

  2. HC
    Hsin‐Hsi Chen

    National Taiwan University, Taiwan

    2 publications · 55 citations

    2

    h-index

  3. BC
    Bob Carpenter

    Carnegie Mellon University, United States

    2 publications · 204 citations

    2

    h-index

  4. JC
    Jennifer Chu‐Carroll

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 204 citations

    2

    h-index

  5. CR
    Carlos Ramisch

    Universidade Federal do Rio Grande do Sul, Brazil

    2 publications · 73 citations

    2

    h-index

1–5 of 317

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 34 citations

    2

    h-index

  2. 2

    h-index

  3. International Conference on Computational Linguistics

    Conference · 2 publications · 28 citations

    2

    h-index

  4. PeerJ Computer Science

    1 publications · 21 citations

    1

    h-index

  5. KOPS (University of Konstanz)

    Repository · 1 publications · 34 citations

    1

    h-index

1–5