Error Frequency Analysis

Error Frequency Analysis is a systematic method within Translation Error Analysis that quantifies the recurrence of specific error types across a set of translated texts to identify prevalent linguistic inaccuracies and assess their distribution patterns.

180

Publications

15.6K

Citations

482

Authors

238

Institutions

Publications per year

2017–2026

44

Authors

482

  1. SG
    Samuel Goldstein

    University of Arkansas for Medical Sciences, United States

    3 publications · 118 citations

    3

    h-index

  2. CH
    Cherri Hobgood

    University of North Carolina at Chapel Hill, United States

    3 publications · 147 citations

    3

    h-index

  3. CD
    Carol D. Ward

    Howard Hughes Medical Institute, United States

    2 publications · 179 citations

    2

    h-index

  4. CP
    Clifford P. Stanners

    McGill University, Canada

    2 publications · 103 citations

    2

    h-index

  5. PJ
    Philip J. Farabaugh

    University of Maryland, Baltimore County, United States

    2 publications · 272 citations

    2

    h-index

1–5 of 482

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 6 publications · 766 citations

    6

    h-index

  2. English Language Teaching

    6 publications · 139 citations

    6

    h-index

  3. Procedia - Social and Behavioral Sciences

    4 publications · 88 citations

    4

    h-index

  4. Nucleic Acids Research

    4 publications · 259 citations

    4

    h-index

  5. International Journal of English Linguistics

    4 publications · 101 citations

    4

    h-index

1–5