Brigham Young University - Provo
Accuracy of Automated Analysis of Language Samples from Persons with Deafness or Hearing Impairment
Abstract
dc:description.abstractDevelopmental Sentence Scoring (DSS) and the Language Assessment, Remediation, and Screening Procedure (LARSP) are among the more common analyses for syntax and morphology, and automated versions of these analyses have been shown to be effective. This study measured the accuracy of automated DSS and LARSP on the written English output of six prelingually deaf young adults, ranging in age from 18 to 32 years. The samples were analyzed using the DSS and LARSP programs on Computerized Profiling; manual analysis was then performed on the samples. Point-by-point accuracy for DSS and for each level of LARSP was reported. Characteristics of the participants' language at the clause, phrase, and word levels were described and discussed, including the implications for clinicians working with this population.
Degree
thesis:*- Name thesis:degree_name
- MS
- Grantor dc:publisher
- Brigham Young University - Provo
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hasting, Anne M.
Subjects
dc:subject × 13Rights
- Language dc:language
- English
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholarsarchive.byu.edu/etd/1334
- OAI identifier oai:identifier
- oai:scholarsarchive.byu.edu:etd-2333