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Daliri, Ayoub; Chao, Sara-Ching; Fitzgerald, Lacee C. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: We continuously monitor our speech output to detect potential errors in our productions. When we encounter errors, we rapidly change our speech output to compensate for the errors. However, it remains unclear whether we adjust the magnitude of our compensatory responses based on the characteristics of errors. Method: Participants (N = 30…
Descriptors: Speech, Error Correction, Error Patterns, Responses
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Daliri, Ayoub – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The speech motor system uses feedforward and feedback control mechanisms that are both reliant on prediction errors. Here, we developed a state-space model to estimate the error sensitivity of the control systems. We examined (a) whether the model accounts for the error sensitivity of the control systems and (b) whether the two systems…
Descriptors: Speech Communication, Psychomotor Skills, Prediction, Error Patterns
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Paul John; Nina Wolf – CALICO Journal, 2020
Our study examines written corrective feedback generated by two online grammar checkers (GCs), Grammarly and Virtual Writing Tutor, and by the grammar checking function of Microsoft Word. We tested the technology on a wide range of grammatical error types from two sources: a set of authentic ESL compositions and a series of simple sentences we…
Descriptors: English (Second Language), Feedback (Response), Automation, Grammar
PEPNet 2, 2006
During April 2006, educators, students, service providers and professionals from across the nation and the world gathered together at the fifth biennial PEPNet Conference in Louisville, Kentucky, to share concepts, ideas, research, technologies and successful practices that have helped individuals who are deaf and hard of hearing establish strong…
Descriptors: Conferences (Gatherings), Visual Impairments, Blindness, Hearing Impairments