Machine-readable Corpora

Machine-Readable Corpora is a linguistic corpus that, unlike printed or manually processed collections, is encoded in digital format and structured for automated computational analysis, enabling systematic processing and retrieval by machine algorithms in translation studies.

211

Publications

16.5K

Citations

565

Authors

191

Institutions

Publications per year

2017–2026

31

Authors

565

  1. NI
    Nancy Ide

    Vassar College, United States

    5 publications · 182 citations

    5

    h-index

  2. JV
    Jean Véronis

    Vassar College, United States

    4 publications · 117 citations

    4

    h-index

  3. YW
    Yorick Wilks

    University of Sheffield, United Kingdom

    4 publications · 207 citations

    4

    h-index

  4. CC
    Christian Chiarcos

    Goethe University Frankfurt, Germany

    3 publications · 89 citations

    3

    h-index

  5. KC
    Kenneth Church

    AT&T (United States), United States

    3 publications · 5K citations

    3

    h-index

1–5 of 565

Venues

  1. International Journal of Corpus Linguistics

    IJCL · 4 publications · 329 citations

    4

    h-index

  2. The COCOON platform (University of Paris)

    Repository · 3 publications · 747 citations

    3

    h-index

  3. International Journal of Lexicography

    IJL · 3 publications · 74 citations

    3

    h-index

  4. Computational Linguistics

    3 publications · 1.1K citations

    3

    h-index

  5. ELT Journal

    2 publications · 120 citations

    2

    h-index

1–5