Error Classification

Error Classification is a systematic framework in the field of Error Analysis that categorizes linguistic or computational errors based on their underlying causes, types, or manifestations, distinguishing it from other analytical methods by its focus on organizing errors into structured typologies for diagnostic or corrective purposes.

253

Publications

13K

Citations

721

Authors

355

Institutions

Publications per year

2017–2026

47

Authors

721

  1. AO
    Atsunori Ogawa

    NTT (Japan), Japan

    3 publications · 53 citations

    3

    h-index

  2. TH
    Takaaki Hori

    Mitsubishi Electric (United States), United States

    3 publications · 53 citations

    3

    h-index

  3. KK
    Kikumi K. Tatsuoka

    University of Illinois Urbana-Champaign, United States

    3 publications · 302 citations

    3

    h-index

  4. KE
    Kevin Englehart

    University of New Brunswick, Canada

    3 publications · 386 citations

    3

    h-index

  5. PW
    Peilu Wang

    Tsinghua University, China

    2 publications · 27 citations

    2

    h-index

1–5 of 721

Venues

  1. PubMed

    Repository · 5 publications · 133 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 270 citations

    4

    h-index

  3. 4

    h-index

  4. 3

    h-index

  5. Journal of Educational Psychology

    2 publications · 125 citations

    2

    h-index

1–5