N-gram Querying

N-Gram Querying is a corpus querying technique that involves the retrieval of contiguous sequences of n items (such as words, tokens, or characters) from a text corpus, distinguished by its focus on fixed-length, sequential linguistic patterns to facilitate the analysis of collocations, lexical trends, and syntactic structures.

6

Publications

218

Citations

12

Authors

6

Institutions

Publications per year

2017–2026

0

Authors

12

  1. SR
    Stefan Rüger

    The Open University, United Kingdom

    2 publications · 47 citations

    2

    h-index

  2. SS
    Satoshi Sekine

    New York University, United States

    1 publications · 13 citations

    1

    h-index

  3. MV
    Maarten van Gompel

    Radboud University Nijmegen, Netherlands

    1 publications · 16 citations

    1

    h-index

  4. XZ
    Xiaojin Zhu

    University of Wisconsin–Madison, United States

    1 publications · 126 citations

    1

    h-index

  5. MC
    Matthew Carey

    Imperial College London, United Kingdom

    1 publications · 30 citations

    1

    h-index

1–5 of 12

Venues

  1. International Symposium/Conference on Music Information Retrieval

    Conference · 1 publications · 17 citations

    1

    h-index

  2. Journal of Open Research Software

    1 publications · 16 citations

    1

    h-index

  3. Open Research Online (The Open University)

    Repository · 1 publications · 30 citations

    1

    h-index

1–3