Corpus Query Optimization

Corpus Query Optimization is a computational methodology that enhances the efficiency and effectiveness of retrieving linguistically relevant patterns from corpora by minimizing query execution time and resource usage while preserving or improving result accuracy.

9

Publications

348

Citations

26

Authors

11

Institutions

Publications per year

2017–2026

2

Authors

26

  1. MS
    Morgan Sonderegger

    McGill University, Canada

    1 publications · 15 citations

    1

    h-index

  2. MA
    Muazzam Ahmed Siddiqui

    King Abdulaziz University, Saudi Arabia

    1 publications · 12 citations

    1

    h-index

  3. AA
    Abobakr Ahmed Bagais

    King Abdulaziz University, Saudi Arabia

    1 publications · 12 citations

    1

    h-index

  4. JM
    Jan‐Torsten Milde

    Bielefeld University, Germany

    1 publications · 22 citations

    1

    h-index

  5. IH
    Imtiaz Hussain Khan

    King Abdulaziz University, Saudi Arabia

    1 publications · 12 citations

    1

    h-index

1–5 of 26

Venues

  1. Language Resources and Evaluation

    1 publications · 20 citations

    1

    h-index

  2. Journal of Open Research Software

    1 publications · 16 citations

    1

    h-index

  3. Lexikos

    1 publications · 27 citations

    1

    h-index

  4. Minerva Access (University of Melbourne)

    Repository · 1 publications · 48 citations

    1

    h-index

  5. 1

    h-index

1–5