Cross-language Performance Equivalence

Cross-Language Performance Equivalence is a methodological standard in computational linguistics that ensures a model’s performance on a given task remains consistent across different languages, accounting for linguistic variation and resource disparity.

28

Publications

1.4K

Citations

88

Authors

38

Institutions

Publications per year

2017–2026

11

Authors

88

  1. SK
    Swathi Kiran

    Boston University, United States

    2 publications · 77 citations

    2

    h-index

  2. MD
    Mark Dredze

    Johns Hopkins University, United States

    2 publications · 238 citations

    2

    h-index

  3. SW
    Shijie Wu

    Johns Hopkins University, United States

    2 publications · 238 citations

    2

    h-index

  4. JT
    Julie Tuchtenhagen

    The University of Texas at Austin, United States

    1 publications · 38 citations

    1

    h-index

  5. MS
    Marilyn S. Thompson

    Arizona State University, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 88

Venues

  1. Cortex

    2 publications · 97 citations

    2

    h-index

  2. Linguistic Approaches to Bilingualism

    2 publications · 38 citations

    2

    h-index

  3. Aphasiology

    2 publications · 77 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 17 citations

    1

    h-index

  5. Journal of Research in Reading

    1 publications · 22 citations

    1

    h-index

1–5