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2 results on '"Language Modeling"'

1. Utterance-Level Modeling of Indicators of Engaging Classroom Discourse

Author

Stone, Cathlyn, Donnelly, Patrick J., Dale, Meghan, Capello, Sarah, Kelly, Sean, Godley, Amanda, and D'Mello, Sidney K.

Abstract

We examine the ability of supervised text classification models to identify several discourse properties from teachers' speech with an eye for providing teachers with meaningful automated feedback about the quality of their classroom discourse. We collected audio recordings from 28 teachers from 10 schools in 164 authentic classroom sessions, which we then automatically transcribed into text utterances and then manually coded to identify whether: (1) the utterance contained a question (as opposed to a statement), (2) the question or statement was Instructional vs. Non-Instructional, and (3) the question or statement was Content-Specific. We experimented with Random Forest classifiers and engineered (linguistic, acoustic-prosodic, and contextual) features vs. open-vocabulary n-grams as features to discriminate these discourse variables at the utterance level in a teacher-independent fashion. We achieved AUC scores ranging from 0.71 to 0.77 using open-vocabulary language modeling, which were well above chance (AUC = 0.5), an important step towards our predominant goal of constructing of an automated feedback system for teacher reflection and learning. [For the full proceedings, see ED599096.]

Published
2019

2. Early Maternal Language Use During Book Sharing in Families From Low-Income Environments.

Author

Abraham, Linzy M., Crais, Elizabeth, and Vernon-Feagans, Lynne

Subjects
LANGUAGE & languages, LANGUAGE acquisition, LONGITUDINAL method, MOTHER-infant relationship, MOTHERS, POVERTY, REGRESSION analysis, RURAL conditions, SCALES (Weighing instruments), EDUCATIONAL attainment, MEDICAL coding, DESCRIPTIVE statistics
Abstract

Purpose: The authors examined the language used by mothers from low-income and rural environments with their infants at ages 6 and 15 months to identify predictors of maternal language use at the 15-month time point. Method: Maternal language use by 82 mothers with their children was documented during book-sharing interactions within the home in a prospective longitudinal study. The authors analyzed transcripts for maternal language strategies and maternal language productivity. Results: Analyses indicated variability across mothers in their language use and revealed some stability within mothers, as maternal language use at the 6-month time point significantly predicted later maternal language. Mothers who used more language strategies at the 6-month time point were likely to use more of these language strategies at the 15-month time point, even after accounting for maternal education, family income, maternal language productivity, and children's communicative attempts. Conclusions: Mothers' language use with their children was highly predictive of later maternal language use, as early as age 6 months. Children's communication also influenced concurrent maternal language productivity. Thus, programs to enhance maternal language use would need to begin in infancy, promoting varied and increased maternal language use and also encouraging children's communication. [ABSTRACT FROM AUTHOR]

Published
2013
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