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The Rules of Spelling Errors.
Peer reviewed Peer reviewed
Yannakoudakis, 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
Microcomputer-Based Analysis of Spelling Errors.
Hasselbring, Ted S.; Owens, Sheryl D. – Computers, Reading and Language Arts, 1983
Presents a self-administered computer spelling test that provides a detailed analysis of a student's spelling errors. (Available from: Modern Learning Publishers, Inc., 6517 Liggett, Oakland, CA 94611, $14.) (AEA)
Descriptors: Computer Programs, Diagnostic Tests, Error Patterns, Microcomputers
Spelling--A Task Analysis
Peer reviewed Peer reviewed
Simon, Dorothea P. – Instructional Science, 1976
A typical school spelling task is analyzed in terms of an information processing model of spelling performance. (Author)
Descriptors: Computer Programs, Error Patterns, Information Processing, Mnemonics
An Intelligent Spelling Error Corrector.
Peer reviewed Peer reviewed
Yannakoudakis, 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