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Peer reviewedPollock, Joseph J.; Zamora, Antonio – Journal of the American Society for Information Science, 1984
Describes system design proposed by the Spelling Error Detection Correction Project (SPEEDCOP) at Chemical Abstracts Service. Highlights include principles of detection/correction system; spelling error detection (the dictionary, suffix normalization, bypassing specialized word classes, document-level frequency threshold); spelling error…
Descriptors: Algorithms, Dictionaries, Error Patterns, Spelling
Peer reviewedYannakoudakis, E. J.; Fawthrop, D. – Information Processing and Management, 1983
Results of analysis of 1,377 spelling error forms including three categories of spelling errors (consonantal, vowel, and sequential) demonstrate that majority of spelling errors are highly predictable when set of predefined rules based on phonological and sequential considerations are followed algorithmically. Eleven references and equivalent…
Descriptors: Algorithms, Computer Programs, Consonants, Error Patterns
Peer reviewedYannakoudakis, E. J.; Fawthrop, D. – Information Processing and Management, 1983
This paper describes an intelligent spelling error correction system for use in a word processing environment. The system employs a dictionary of 93,769 words and, provided the intended word is in the dictionary, it identifies 80 percent to 90 percent of spelling and typing errors. Nine references are cited. (Author/EJS)
Descriptors: Algorithms, Artificial Intelligence, Computer Programs, Dictionaries
