We use language technology to develop corpus measures of lexical and acoustic/prosodic convergence. We show that these measures successfully discriminate randomized from naturally ordered data, and demonstrate both lexical and acoustic/prosodic convergence in our corpus of human/human tutoring dialogs.
CITATION STYLE
Ward, A., & Litman, D. (2007). Automatically Measuring Lexical and Acoustic/Prosodic Convergence in Tutorial Dialog Corpora. In Speech and Language Technology in Education, SLaTE 2007 (pp. 57–60). The International Society for Computers and Their Applications (ISCA). https://doi.org/10.21437/slate.2007-13
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