Concordance Extraction

Concordance Extraction is a computational linguistic method that identifies and retrieves contextually representative word occurrences within a corpus, distinguished by its focus on generating structured alignments of lexical units to facilitate discourse or translation analysis.

9

Publications

408

Citations

36

Authors

16

Institutions

Publications per year

2017–2026

1

Authors

36

  1. EB
    Editha Bayer

    Medical University of Vienna, Austria

    1 publications · 23 citations

    1

    h-index

  2. MM
    Miriam Meyerhoff

    Victoria University of Wellington, New Zealand

    1 publications · 16 citations

    1

    h-index

  3. LG
    Leif Grönqvist

    University of Gothenburg, Sweden

    1 publications · 14 citations

    1

    h-index

  4. AH
    Andrew Hardie

    Lancaster University, United Kingdom

    1 publications · 39 citations

    1

    h-index

  5. ND
    Noorul Dharajath Abdul Rahim

    Nanyang Technological University, Singapore

    1 publications · 25 citations

    1

    h-index

1–5 of 36

Venues

  1. Linguistics Vanguard

    1 publications · 16 citations

    1

    h-index

  2. Computer Assisted Language Learning

    1 publications · 25 citations

    1

    h-index

  3. Electrophoresis

    1 publications · 23 citations

    1

    h-index

  4. Journal of Historical Pragmatics

    1 publications · 39 citations

    1

    h-index

  5. Systematic Reviews

    1 publications · 25 citations

    1

    h-index

1–5