Error Tagging

Error Tagging is a methodological procedure in Learner Corpus Analysis that systematically identifies, classifies, and labels linguistic errors in learner language data according to predefined criteria to facilitate the analysis of second language acquisition patterns.

88

Publications

5.1K

Citations

203

Authors

94

Institutions

Publications per year

2017–2026

13

Authors

203

  1. JT
    Joel Tetreault

    Educational Testing Service, United States

    9 publications · 532 citations

    9

    h-index

  2. MC
    Martin Chodorow

    Hunter College, United States

    7 publications · 473 citations

    7

    h-index

  3. AR
    Alla Rozovskaya

    University of Illinois Urbana-Champaign, United States

    7 publications · 438 citations

    7

    h-index

  4. CB
    Christopher Bryant

    University of Cambridge, United Kingdom

    4 publications · 956 citations

    4

    h-index

  5. TB
    Ted Briscoe

    University of Cambridge, United Kingdom

    4 publications · 943 citations

    4

    h-index

1–5 of 203

Venues

  1. CALICO Journal

    4 publications · 255 citations

    4

    h-index

  2. Computer Assisted Language Learning

    2 publications · 97 citations

    2

    h-index

  3. Meeting of the Association for Computational Linguistics

    Conference · 2 publications · 73 citations

    2

    h-index

  4. 2

    h-index

  5. Apollo (University of Cambridge)

    Repository · 2 publications · 70 citations

    2

    h-index

1–5