Spelling Error Detection

Spelling Error Detection is a computational method in Natural Language Processing that identifies deviations from standard orthographic forms in written text by determining whether individual words or sequences are misspelled relative to a linguistic reference model.

291

Publications

12.8K

Citations

729

Authors

270

Institutions

Publications per year

2017–2026

79

Authors

729

  1. QZ
    Qingyu Zhou

    University of South Florida, United States

    5 publications · 172 citations

    5

    h-index

  2. KS
    Khaled Shaalan

    British University in Dubai, United Arab Emirates

    4 publications · 131 citations

    4

    h-index

  3. YB
    Youssef Bassil

    Lebanese University, Lebanon

    4 publications · 123 citations

    4

    h-index

  4. DR
    Dan Roth

    University of Illinois Urbana-Champaign, United States

    4 publications · 491 citations

    4

    h-index

  5. HF
    Heshaam Faili

    University of Tehran, Iran

    4 publications · 88 citations

    4

    h-index

1–5 of 729

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 232 citations

    10

    h-index

  2. Communications of the ACM

    9 publications · 2.3K citations

    9

    h-index

  3. 6

    h-index

  4. Natural Language Engineering

    4 publications · 281 citations

    4

    h-index

  5. IEEE Access

    4 publications · 94 citations

    4

    h-index

1–5