Applying conversation analysis to interactions with atypically developing children

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چکیده

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منابع مشابه

Studies of Typically and Atypically Developing Children

Kleberg, J. L. 2018. Visual Attention to Faces, Eyes and Objects. Studies of Typically and Atypically Developing Children. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Social Sciences 152. 68 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0244-7. Abstract. The overall aim of this doctoral work is to understand attentional functions in typically deve...

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Despite the fact that there are a wide range of strategies used to foster interactions in EFL conversation classrooms, many novice teachers are not aware of them. In view of this problem, the current study aimed to identify such strategies commonly used by EFL teachers in conversation classrooms. To this end, fifty sessions of college level conversation classrooms were observed andtheir teacher...

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Conversation after right hemisphere brain damage: motivations for applying conversation analysis.

Despite the well documented pragmatic deficits that can arise subsequent to Right Hemisphere Brain Damage (RHBD), few researchers have directly studied everyday conversations involving people with RHBD. In recent years, researchers have begun applying Conversation Analysis (CA) to the everyday talk of people with aphasia. This research programme has provided novel insights into the complex inte...

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Applying multiview learning algorithms to human-human conversation classification

We propose in this paper to use a novel multiview boostinglike algorithm called Mumbo for processing human-human conversations recorded in a call-senter setting. We present how dialog classification can be seen as a multiview classification problem and we compare the performance of Mumbo and the one of a standard boosting algorithm. The first results obtained on a subset of the DECODA corpus sh...

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ژورنال

عنوان ژورنال: Clinical Linguistics & Phonetics

سال: 2009

ISSN: 0269-9206,1464-5076

DOI: 10.1080/02699200802491173