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Please use this identifier to cite or link to this item: http://dspace.bsuedu.ru/handle/123456789/65238
Title: Investigating between-word pause duration in Russian typed texts using mixture modeling based on keystroke data
Other Titles: Исследование межсловных пауз в текстах на русском языке по данным кейлоггера с использованием моделей гауссовой смеси
Authors: Litvinova, T. A.
Molchanova, V. A.
Keywords: linguistics
computational linguistics
keystroke logging
keystroke analysis
pause
pause duration
writing research
writing processes
mixture modelling
Issue Date: 2024
Citation: Litvinova, T.A. Investigating between-word pause duration in Russian typed texts using mixture modeling based on keystroke data / T.A. Litvinova, V.A. Molchanova // Научный результат. Сер. Вопросы теоретической и прикладной лингвистики. - 2024. - Т.10, №4.-C. 147-166.
Abstract: This study is the first to analyze keystroke logs of Russian typed texts utilizing Gaussian mixture models (GMM) to cluster pause duration values at between-word boundaries. By employing keystroke logs collected from 50 university students who described the views from their home windows, we conducted a cluster analysis of pause duration values before words, after words, and between words separately
URI: http://dspace.bsuedu.ru/handle/123456789/65238
Appears in Collections:Т. 10, вып. 4

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