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.
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270
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2017–2026
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Spelling Error Correction with Soft-Masked BERT
Shaohua Zhang, Haoran Huang, Jicong Liu et al. · 2020 · 204 citations · Full text
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Tencent (China)
Shenzhen, China
6 h-index
24 publications
1.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
11 publications
647 citations
British University in Dubai
Dubai, United Arab Emirates
4 h-index
6 publications
201 citations

Tilburg University
Tilburg, The Netherlands
4 h-index
5 publications
97 citations

University of Tehran
Tehran, Iran
4 h-index
9 publications
207 citations
Educational Testing Service
Princeton, United States
4 h-index
8 publications
357 citations

KTH Royal Institute of Technology
Stockholm, Sweden
4 h-index
9 publications
198 citations
National Center for Biotechnology Information
Bethesda, United States
4 h-index
11 publications
315 citations
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Repository · 10 publications · 232 citations
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