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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Automated Grammatical Tagging of Language Samples from Children with and without Language Impairment

Millet, Deborah 01 January 2003 (has links) (PDF)
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.
automated grammatical tagging
grammatical classification
language samples
syntactic analysis
language impairment
DSS
developmental sentence scoring
Language Assessment
Remediation and Screening Procedure
LARSP
bi-gram probability
tri-gram probability
Communication Sciences and Disorders

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