Spell checker for consumer language (CSpell) | Zendy

Chris J. Lu | Zendy; Alan R. Aronson | Zendy; Sonya E. Shooshan | Zendy; Dina DemnerFushman | Zendy

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Spell checker for consumer language (CSpell)

Author(s) -

Chris J. Lu,

Alan R. Aronson,

Sonya E. Shooshan,

Dina DemnerFushman

Publication year - 2018

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocy171

Subject(s) - computer science , ranking (information retrieval) , word2vec , context (archaeology) , natural language processing , word embedding , artificial intelligence , word (group theory) , smoothing , spelling , speech recognition , machine learning , embedding , mathematics , paleontology , linguistics , philosophy , geometry , computer vision , biology

Automated understanding of consumer health inquiries might be hindered by misspellings. To detect and correct various types of spelling errors in consumer health questions, we developed a distributable spell-checking tool, CSpell, that handles nonword errors, real-word errors, word boundary infractions, punctuation errors, and combinations of the above.

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