The present study measured the accuracy of automated grammatical tagging software as compared to manual tagging in Spanish-speaking children's personal and fictional event narrative language samples. Studies have identified articles, clitic (contracted with a verb) pronouns, and verbs as clinical markers for language impairment in Spanish-speaking children. Automated grammatical tagging software may aid in the rapid identification of these grammatical markers. Grammatical morphemes of 30 first and fourth grade children's personal and fictional event narrative samples were tagged and compared with their respective manually tagged samples. The accuracy of word-level coding averaged 91%, and similar accuracy was found for clinically significant tags. Automated grammatical analysis has the potential to accurately identify clinically relevant grammatical forms in samples from children who speak Spanish.
College and Department
David O. McKay School of Education; Communication Disorders
BYU ScholarsArchive Citation
Harmon, Tyson Gordon, "Accuracy of Automated Grammatical Tagging of Narrative Language Samples from Spanish-Speaking Children" (2012). All Theses and Dissertations. 2984.
child language, Spanish, narrative, software, grammatical tagging