OCRSpell: an interactive spelling correction system for OCR errors in text | Zendy

Kazem Taghva | Zendy; Eric Stofsky | Zendy

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OCRSpell: an interactive spelling correction system for OCR errors in text

Author(s) -

Kazem Taghva,

Eric Stofsky

Publication year - 2001

Publication title -

international journal on document analysis and recognition (ijdar)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.331

H-Index - 50

eISSN - 1433-2833

pISSN - 1433-2825

DOI - 10.1007/pl00013558

Subject(s) - spelling , computer science , string (physics) , artificial intelligence , natural language processing , feature (linguistics) , confusion , matching (statistics) , error detection and correction , speech recognition , information retrieval , algorithm , linguistics , mathematics , psychology , philosophy , statistics , psychoanalysis , mathematical physics

In this paper, we describe a spelling correc- tion system designed specifically for OCR-generated text that selects candidate words through the use of infor- mation gathered from multiple knowledge sources. This system for text correction is based on static and dynamic device mappings, approximate string matching, and n- gram analysis. Our statistically based, Bayesian system incorporates a learning feature that collects confusion information at the collection and document levels. An evaluation of the new system is presented as well.

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