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Full-Text Articles in Communication Sciences and Disorders
Automated Grammatical Tagging Of Language Samples From Children With And Without Language Impairment, Deborah Millet
Automated Grammatical Tagging Of Language Samples From Children With And Without Language Impairment, Deborah Millet
Theses and Dissertations
Grammatical classification ("tagging") of words in language samples is a component of syntactic analysis for both clinical and research purposes. Previous studies have shown that probability-based software can be used to tag samples from adults and typically-developing children with high (about 95%) accuracy. The present study found that similar accuracy can be obtained in tagging samples from school-aged children with and without language impairment if the software uses tri-gram rather than bi-gram probabilities and large corpora are used to obtain probability information to train the tagging software.
Spectral Measures And Perceptual Ratings Of Hypokinetic Dysarthria, Christopher Dromey
Spectral Measures And Perceptual Ratings Of Hypokinetic Dysarthria, Christopher Dromey
Faculty Publications
Ten individuals with Parkinson disease (PD) and hypokinetic dysarthria were compared with age-matched neurologically normal (NN) speakers on acoustic measures from speaking and vowel phonation tasks as well as on perceptual ratings of connected speech. Listeners identified differences between the groups when asked to judge the severity of vocal and articulatory impairment during reading. Several conventional acoustic measures failed to differentiate speakers with PD from NN speakers. However, measures of the shape (statistical moments) of the long term average spectrum (LTAS) revealed statistically significant differences between the groups across vowel phonation, reading and monologue tasks. The ease of computation of …