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Ohood Swar; Mohammed Mohsen – Interactive Learning Environments, 2023
Over the past few years, many studies have examined the cognitive processes of students when translating texts from one language to another. However, little is known about the cognitive processes of Arab translators when translating texts from their heritage language into English. This study aims to track the cognitive processes of students as…
Descriptors: Language Processing, Psycholinguistics, Native Language, Second Language Learning
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Chamberlain, Jenna M.; Gagné, Christina L.; Spalding, Thomas L.; Lõo, Kaidi – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Three experiments using a spelling error detection task investigated the extent to which morphemes and pseudomorphemes affect word processing. We compared the processing of transparent compound words (e.g., doorbell), pseudocompound words (e.g., carpet), and matched control words (e.g., tomato). In half of the compound and pseudocompound words,…
Descriptors: Spelling, Error Patterns, Task Analysis, Morphology (Languages)
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Weinzierl, Christiane; Kerkhoff, Georg; van Eimeren, Lucia; Keller, Ingo; Stenneken, Prisca – Neuropsychologia, 2012
Unilateral spatial neglect frequently involves a lateralised reading disorder, neglect dyslexia (ND). Reading of single words in ND is characterised by left-sided omissions and substitutions of letters. However, it is unclear whether the distribution of error types and positions within a word shows a unique pattern of ND when directly compared to…
Descriptors: Dyslexia, Stimuli, Word Processing, Patients
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Pollock, 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
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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
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Gaffrey, Michael S.; Kleinhans, Natalia M.; Haist, Frank; Akshoomoff, Natacha; Campbell, Ashley; Courchesne, Eric; Muller, Ralph-Axel – Neuropsychologia, 2007
Language delay and impairment are salient features of autism. More specifically, there is evidence of atypical semantic organization in autism, but the functional brain correlates are not well understood. The current study used functional MRI to examine activation associated with semantic category decision. Ten high-functioning men with autism…
Descriptors: Visual Stimuli, Control Groups, Semantics, Autism
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Figueredo, Lauren; Varnhagen, Connie K. – Reading Psychology, 2005
We investigated expectations regarding a writer's responsibility to proofread text for spelling errors when using a word processor. Undergraduate students read an essay and completed a questionnaire regarding their perceptions of the author and the quality of the essay. They then manipulated type of spelling error (no error, homophone error,…
Descriptors: Undergraduate Students, Spelling, Word Processing, Error Patterns
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Otte, George – Journal of Basic Writing, 1989
Describes how a computerized text analysis program can help students discover error patterns in their writing, and notes how students' responses to analyses can reduce errors and improve their writing. (MM)
Descriptors: Computer Software, Computer Uses in Education, Discourse Analysis, Error Analysis (Language)
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Pennington, Martha C. – System, 1992
A case is made against the educational application with nonproficient writers of "canned" feedback provided by text analysis computer programs marketed as grammar checkers and style analyzers. The feedback does not teach students. Alternative approaches for giving students feedback in the electronic medium are offered. (46 references) (Author/LB)
Descriptors: Computer Assisted Instruction, Computer Software, Educational Technology, Error Analysis (Language)
Wresch, William – Computing Teacher, 1988
Discussion of programs for analyzing the writing of students using word processors focuses on six categories of available software that can help to improve students' writing skills: error checkers, reformatters, audience awareness programs (including reader's needs and readability formulas), student conferencing utilities, grading utilities, and…
Descriptors: Audience Analysis, Computer Assisted Instruction, Courseware, Editing
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Tumlin, Jennifer; Heller, Kathryn Wolff – Journal of Special Education Technology, 2004
The purpose of this study was to examine the use of word prediction software to increase typing speed and decrease spelling errors for students who have physical disabilities that affect hand use. Student perceptions regarding the effectiveness of word prediction was examined as well as their typing rates and spelling accuracy. Four students with…
Descriptors: Computer Software, Physical Disabilities, Assistive Technology, Keyboarding (Data Entry)
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Hine, Mary Sue; And Others – Journal of Special Education, 1990
Eleven learning-handicapped students, ages 8-13, generated text at microcomputers both alone and as members of dyads. Examination of mechanical errors revealed a lower error rate in the dyad condition compared to working alone. The relationship between error monitoring and the social interaction needed for collaboration is discussed. (Author/JDD)
Descriptors: Computer Assisted Instruction, Cooperative Learning, Elementary Education, Error Patterns