Computational Lexical Comparison

Computational Lexical Comparison is a formal methodological framework within lexical linguistics that systematically quantifies and analyzes cross-linguistic lexical similarity or divergence through algorithmic, data-driven techniques, distinguished from traditional qualitative approaches by its reliance on computational models, automated processing, and formal metrics.

9

Publications

443

Citations

20

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

20

  1. LT
    Luchen Tan

    University of Waterloo, Canada

    1 publications · 35 citations

    1

    h-index

  2. EW
    Eric W. Holman

    University of California, Los Angeles, United States

    1 publications · 163 citations

    1

    h-index

  3. RB
    Rhonda B. Friedman

    Georgetown University, United States

    1 publications · 10 citations

    1

    h-index

  4. CK
    Colin Kelly

    University of Cambridge, United Kingdom

    1 publications · 15 citations

    1

    h-index

  5. CL
    Charles L. A. Clarke

    University of Waterloo, Canada

    1 publications · 35 citations

    1

    h-index

1–5 of 20

Venues

  1. Cognitive Science

    1 publications · 15 citations

    1

    h-index

  2. Language Typology and Universals

    1 publications · 163 citations

    1

    h-index

  3. Linguistics

    1 publications · 22 citations

    1

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 41 citations

    1

    h-index

  5. Computer Assisted Language Learning

    1 publications · 24 citations

    1

    h-index

1–5