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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.