Difference between revisions of "Xu2019"
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|BibType=ARTICLE | |BibType=ARTICLE | ||
|Author(s)=Jun Xu | |Author(s)=Jun Xu | ||
| − | |Title=An | + | |Title=An analysis of Chinese sentence final particle 'ba' in dispreferred responses |
|Tag(s)=EMCA; Chinese; Interactional Linguistics; Dispreferred response; Preference; Sentence final particles | |Tag(s)=EMCA; Chinese; Interactional Linguistics; Dispreferred response; Preference; Sentence final particles | ||
|Key=Xu2019 | |Key=Xu2019 | ||
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|Volume=4 | |Volume=4 | ||
|Number=2 | |Number=2 | ||
| − | |Pages= | + | |Pages=239–261 |
|URL=https://journal.equinoxpub.com/EAP/article/view/14221 | |URL=https://journal.equinoxpub.com/EAP/article/view/14221 | ||
| − | |DOI= | + | |DOI=10.1558/eap.37314 |
|Abstract=This paper focuses on the Chinese sentence final particle ba in a dispreferred response environment and examines how ba functions with other features to mitigate the negative valence. Contrary to previous studies which argue that ba is the only relevant feature to mitigate the negative valence, this paper illustrates that ba itself is not sufficient to fulfill such purpose. This paper demonstrates that in natural conversation, ba tends to occur with delay, palliative, accounts and pro-forma agreement as well as other linguistic features of dispreferred responses. The data shows that it is not only ba but ba and other features which work together to facilitate the interaction between conversation participants. The present study provides a new approach to interpreting Chinese sentence final particles by examining them in natural conversation interaction instead of relying on invented or written data. | |Abstract=This paper focuses on the Chinese sentence final particle ba in a dispreferred response environment and examines how ba functions with other features to mitigate the negative valence. Contrary to previous studies which argue that ba is the only relevant feature to mitigate the negative valence, this paper illustrates that ba itself is not sufficient to fulfill such purpose. This paper demonstrates that in natural conversation, ba tends to occur with delay, palliative, accounts and pro-forma agreement as well as other linguistic features of dispreferred responses. The data shows that it is not only ba but ba and other features which work together to facilitate the interaction between conversation participants. The present study provides a new approach to interpreting Chinese sentence final particles by examining them in natural conversation interaction instead of relying on invented or written data. | ||
}} | }} | ||
Latest revision as of 09:05, 15 January 2020
| Xu2019 | |
|---|---|
| BibType | ARTICLE |
| Key | Xu2019 |
| Author(s) | Jun Xu |
| Title | An analysis of Chinese sentence final particle 'ba' in dispreferred responses |
| Editor(s) | |
| Tag(s) | EMCA, Chinese, Interactional Linguistics, Dispreferred response, Preference, Sentence final particles |
| Publisher | |
| Year | 2019 |
| Language | English |
| City | |
| Month | |
| Journal | East Asian Pragmatics |
| Volume | 4 |
| Number | 2 |
| Pages | 239–261 |
| URL | Link |
| DOI | 10.1558/eap.37314 |
| ISBN | |
| Organization | |
| Institution | |
| School | |
| Type | |
| Edition | |
| Series | |
| Howpublished | |
| Book title | |
| Chapter | |
Abstract
This paper focuses on the Chinese sentence final particle ba in a dispreferred response environment and examines how ba functions with other features to mitigate the negative valence. Contrary to previous studies which argue that ba is the only relevant feature to mitigate the negative valence, this paper illustrates that ba itself is not sufficient to fulfill such purpose. This paper demonstrates that in natural conversation, ba tends to occur with delay, palliative, accounts and pro-forma agreement as well as other linguistic features of dispreferred responses. The data shows that it is not only ba but ba and other features which work together to facilitate the interaction between conversation participants. The present study provides a new approach to interpreting Chinese sentence final particles by examining them in natural conversation interaction instead of relying on invented or written data.
Notes
