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When Gestures Do or Do Not Follow Language‐Specific Patterns of Motion Expression in Speech: Evidence from Chinese, English and Turkish.

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Title: When Gestures Do or Do Not Follow Language‐Specific Patterns of Motion Expression in Speech: Evidence from Chinese, English and Turkish.
Authors: Tütüncü, Irmak Su1 (AUTHOR) irmaksu.tutuncu@gmail.com, Paul, Jing2 (AUTHOR), Emerson, Samantha N.3 (AUTHOR), Şengül, Murat1,4 (AUTHOR), Knezevic, Melanie5 (AUTHOR), Özçalışkan, Şeyda1 (AUTHOR)
Source: Cognitive Science. Apr2023, Vol. 47 Issue 4, p1-30. 30p.
Subject Terms: Speech, Chinese language, English language, Mandarin dialects
Abstract: Speakers of different languages (e.g., English vs. Turkish) show a binary split in how they package and order components of a motion event in speech and co‐speech gesture but not in silent gesture. In this study, we focused on Mandarin Chinese, a language that does not follow the binary split in its expression of motion in speech, and asked whether adult Chinese speakers would follow the language‐specific speech patterns in co‐speech but not silent gesture, thus showing a pattern akin to Turkish and English adult speakers in their description of animated motion events. Our results provided evidence for this pattern, with Chinese—as well as English and Turkish—speakers following language‐specific patterns in speech and co‐speech gesture but not in silent gesture. Our results provide support for the "thinking‐for‐speaking" account, namely that language influences thought only during online, but not offline, production of speech. [ABSTRACT FROM AUTHOR]
Copyright of Cognitive Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: When Gestures Do or Do Not Follow Language‐Specific Patterns of Motion Expression in Speech: Evidence from Chinese, English and Turkish.
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  Data: <searchLink fieldCode="JN" term="%22Cognitive+Science%22">Cognitive Science</searchLink>. Apr2023, Vol. 47 Issue 4, p1-30. 30p.
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  Data: <searchLink fieldCode="DE" term="%22Speech%22">Speech</searchLink><br /><searchLink fieldCode="DE" term="%22Chinese+language%22">Chinese language</searchLink><br /><searchLink fieldCode="DE" term="%22English+language%22">English language</searchLink><br /><searchLink fieldCode="DE" term="%22Mandarin+dialects%22">Mandarin dialects</searchLink>
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  Label: Abstract
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  Data: Speakers of different languages (e.g., English vs. Turkish) show a binary split in how they package and order components of a motion event in speech and co‐speech gesture but not in silent gesture. In this study, we focused on Mandarin Chinese, a language that does not follow the binary split in its expression of motion in speech, and asked whether adult Chinese speakers would follow the language‐specific speech patterns in co‐speech but not silent gesture, thus showing a pattern akin to Turkish and English adult speakers in their description of animated motion events. Our results provided evidence for this pattern, with Chinese—as well as English and Turkish—speakers following language‐specific patterns in speech and co‐speech gesture but not in silent gesture. Our results provide support for the "thinking‐for‐speaking" account, namely that language influences thought only during online, but not offline, production of speech. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Cognitive Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Apr2023
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