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Direct linkJoseph P. Magliano; Lauren Flynn; Daniel P. Feller; Kathryn S. McCarthy; Danielle S. McNamara; Laura Allen – Grantee Submission, 2022
The goal of this study was to assess the relationships between computational approaches to analyzing constructed responses made during reading and individual differences in the foundational skills of reading in college readers. We also explored if these relationships were consistent across texts and samples collected at different institutions and…
Descriptors: Semantics, Computational Linguistics, Individual Differences, Reading Materials
Garrett, Jennifer Tumlin; Heller, Kathryn Wolff; Fowler, Linda P.; Alberto, Paul A.; Fredrick, Laura D.; O'Rourke, Colleen M. – Journal of Special Education Technology, 2011
Students with physical disabilities often have difficulty with writing fluency, despite the use of various strategies, adaptations, and assistive technology (AT). One possible intervention is the use of speech recognition software, although there is little research on its impact on students with physical disabilities. This study used an…
Descriptors: High School Students, Physical Disabilities, Computational Linguistics, Computer Software
Crossley, Scott A.; Allen, David B.; McNamara, Danielle S. – Reading in a Foreign Language, 2011
Texts are routinely simplified for language learners with authors relying on a variety of approaches and materials to assist them in making the texts more comprehensible. Readability measures are one such tool that authors can use when evaluating text comprehensibility. This study compares the Coh-Metrix Second Language (L2) Reading Index, a…
Descriptors: Readability, Readability Formulas, Word Processing, Psycholinguistics
Alshaar, Awatif Abu; AbuSeileek, Ali Farhan – JALT CALL Journal, 2013
This study aims to investigate the effect of using concordances and word processors on EFL graduates' performance in academic writing. To achieve this aim, the subjects were asked to use linguistics corpora and word processors to correct their grammatical and spelling mistakes in their written papers in a course that lasted for sixteen weeks. The…
Descriptors: Computational Linguistics, English (Second Language), Second Language Learning, Semi Structured Interviews
Rimrott, Anne; Heift, Trude – Language Learning & Technology, 2008
This study investigates the performance of a spell checker designed for native writers on misspellings made by second language (L2) learners. It addresses two research questions: 1) What is the correction rate of a generic spell checker for L2 misspellings? 2) What factors influence the correction rate of a generic spell checker for L2…
Descriptors: Word Processing, German, Spelling, Second Language Learning
Evmenova, Anna S.; Graff, Heidi J.; Jerome, Marci Kinas; Behrmann, Michael M. – Learning Disabilities Research & Practice, 2010
This investigation examined the effects of currently available word prediction software programs that support phonetic/inventive spelling on the quality of journal writing by six students with severe writing and/or spelling difficulties in grades three through six during a month-long summer writing program. A changing conditions single-subject…
Descriptors: Writing Difficulties, Journal Writing, Computer Software Evaluation, Phonetics
Peer reviewedLiou, Hsien-Chin – System, 1992
A year-long project to develop an automatic English grammar text-analysis for Chinese students in Taiwan to help writing revision processes is described. The project analyzed 135 writing samples, developed an electronic dictionary, and researched error analysis, linguistic analysis, and natural language processing in computational linguistics.…
Descriptors: Computational Linguistics, Computer Software, Computer Uses in Education, Dictionaries
