Studying Conversational Adjustments in Interaction: Beyond Acoustic Phonetic Changes.
Purpose: We examined which measures of complexity are most informative when studying language produced in interaction. Specifically, using these measures, we explored whether native and nonnative speakers modified the higher level properties of their production beyond the acoustic–phonetic level bas...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 67; no. 1; pp. 196 - 211 |
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| Autores principales: | , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Jan2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=174704269&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 174704269 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Jan2024 vid: 67 iid: 1 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 174704269 10.1044/2023_JSLHR-23-00268 ppf: 196 ppct: 15 formats: fmt: @attributes: type: P size: 1.1MB tig: atl: Studying Conversational Adjustments in Interaction: Beyond Acoustic Phonetic Changes. aug: au: Pham, Catherine T. Viswanathan, Navin affil: Department of Psychology, The Pennsylvania State University, University Park. Department of Communication Sciences and Disorders, The Pennsylvania State University, University Park. su: Analysis of variance Conversation Phonetics Speech perception Statistics Phonological awareness Descriptive statistics Research funding Sound Data analysis sug: subj: Analysis of variance Conversation Phonetics Speech perception Statistics Phonological awareness Descriptive statistics Research funding Sound Data analysis ab: Purpose: We examined which measures of complexity are most informative when studying language produced in interaction. Specifically, using these measures, we explored whether native and nonnative speakers modified the higher level properties of their production beyond the acoustic–phonetic level based on the language background of their conversation partner. Method: Using a subset of production data from the Wildcat Corpus that used Diapix, an interactive picture matching task, to elicit production, we compared English language production at the dyad and individual level across three different pair types: eight native pairs (English–English), eight mixed pairs (four English–Chinese and four English–Korean), and eight nonnative pairs (four Chinese–Chinese and four Korean–Korean). Results: At both the dyad and individual levels, native speakers produced longer and more clausally dense speech. They also produced fewer silent pauses and fewer linguistic mazes relative to nonnative speakers. Speakers did not modify their production based on the language background of their interlocutor. Conclusions: The current study examines higher level properties of language production in true interaction. Our results suggest that speakers’ productions were determined by their own language background and were independent of that of their interlocutor. Furthermore, these demonstrated promise for capturing syntactic characteristics of language produced in true dialogue. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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