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Abstract
  • Human verbal communication is a complex phenomenon involving
    dynamics that normally result in the alignment of participants
    on several modalities, and across various linguistic domains.
    We examined here whether such dynamics occur also for
    paralinguistic events, in particular, in the case of laughter. Using
    a conversational corpus containing dyadic interactions in three
    languages (French, German and Mandarin Chinese), we investigated
    three measures of alignment: convergence, synchrony and
    agreement. Support for convergence and synchrony was found
    in all three languages, although the level of support varied with
    the language, while the agreement in laughter type was found
    to be significant for the German data. The implications of these
    findings towards a better understanding of the role of laughter
    in human communication are discussed.
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