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Verbs Matter: A Tutorial for Determining Verb Difficulty.

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Title: Verbs Matter: A Tutorial for Determining Verb Difficulty.
Authors: Finestack, Lizbeth H.1 finestack@umn.edu, Linert, Jamie1, Ancel, Elizabeth1, Hilliard, Lisa1, Munson, Benjamin1, Kuchler, Kirstin1, Matthys, Olivia1
Source: American Journal of Speech-Language Pathology. Sep2023, Vol. 32 Issue 5, p1961-1978. 18p. 12 Charts.
Subject Terms: *Teaching methods, *Comparative grammar, *Language acquisition, *Learning, *Educational outcomes, *Goal (Psychology), *Language disorders, *Children, Linguistics, Research funding
Abstract: Purpose: Research indicates that when teaching grammatical forms to children, the verbs used to model specific grammatical inflections matter. When learning grammatical forms, children have higher performance when they hear many unique verb forms that vary in their frequency and phonological complexity. In this tutorial, we demonstrate a method for identifying and characterizing a large number of verbs based on their frequency and complexity. Method: We selected verbs from an open-access database of transcribed child language samples. We extracted verbs produced by 5-to 8.9-year-old children in four morphosyntactic contexts: regular past tense -ed, third person singular -s, is/are + verb+ing, and do/does questions. We ranked verbs based on their frequency of occurrence across transcripts. We also coded the phonological complexity of each verb. We coded each verb as high or low frequency and high or low phonological complexity. Results: The synthesis yielded 129 unique verbs used in the regular past tense -ed context, 107 verbs used in the third person singular -s context, 69 verbs used in the is/are + verb+ing context, and 16 verbs used in the do/does question context. We created tables for each form that include the frequency rankings and phonological complexity scores for every verb. Conclusions: Clinicians may use the verb lists, frequency ratings, and phonological complexity scores to help identify verbs to incorporate into assessment and intervention sessions with children. Researchers and clinicians may use the step-by-step approach presented in the tutorial to identify verbs or other syntactic components used in different morphosyntactic contexts or produced by individuals of different demographics in different speaking contexts. [ABSTRACT FROM AUTHOR]
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Database: Education Research Complete
Description
Abstract:Purpose: Research indicates that when teaching grammatical forms to children, the verbs used to model specific grammatical inflections matter. When learning grammatical forms, children have higher performance when they hear many unique verb forms that vary in their frequency and phonological complexity. In this tutorial, we demonstrate a method for identifying and characterizing a large number of verbs based on their frequency and complexity. Method: We selected verbs from an open-access database of transcribed child language samples. We extracted verbs produced by 5-to 8.9-year-old children in four morphosyntactic contexts: regular past tense -ed, third person singular -s, is/are + verb+ing, and do/does questions. We ranked verbs based on their frequency of occurrence across transcripts. We also coded the phonological complexity of each verb. We coded each verb as high or low frequency and high or low phonological complexity. Results: The synthesis yielded 129 unique verbs used in the regular past tense -ed context, 107 verbs used in the third person singular -s context, 69 verbs used in the is/are + verb+ing context, and 16 verbs used in the do/does question context. We created tables for each form that include the frequency rankings and phonological complexity scores for every verb. Conclusions: Clinicians may use the verb lists, frequency ratings, and phonological complexity scores to help identify verbs to incorporate into assessment and intervention sessions with children. Researchers and clinicians may use the step-by-step approach presented in the tutorial to identify verbs or other syntactic components used in different morphosyntactic contexts or produced by individuals of different demographics in different speaking contexts. [ABSTRACT FROM AUTHOR]
ISSN:10580360
DOI:10.1044/2023_AJSLP-22-00333