Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/129628
DC FieldValue
dc.titleCompliments and Compliment Responses in Kunming Chinese
dc.contributor.authorYuan, Y.
dc.date.accessioned2016-11-08T08:24:46Z
dc.date.available2016-11-08T08:24:46Z
dc.date.issued2002
dc.identifier.citationYuan, Y. (2002). Compliments and Compliment Responses in Kunming Chinese. Pragmatics 12 (2) : 183-226. ScholarBank@NUS Repository.
dc.identifier.issn10182101
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/129628
dc.description.abstractThe way compliments & compliment responses are executed in Kunming Chinese, a Mandarin dialect spoken in Kunming, China, are described. The semantic formulas used in forming compliments & compliment responses & the syntactic patterns of compliments are examined in data collected via discourse completion task (DCT) questionnaires & natural observation. It is found that explicit compliments are the most common form of complimenting in the dialect. Implicit compliments, on the other hand, are much rarer & tend to occur by themselves. Syntactically, over 90% of the compliments fell into one of four syntactic structures utilizing the third person/impersonal & second person perspectives. In replying to a compliment, speakers of Kunming Chinese are found to be drifting away from the tradition of rejecting compliments outright; they are now more willing to accept compliments, although often indirectly: a quarter of the time, in real life situations, they just smiled compliments away. While the DCT data & natural data are similar in the use of a majority of the semantic formulas, some differences are also found between the two types of data. Some methodological & cross cultural implications are discussed in conclusion.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCTR FOR ENGLISH LANGUAGE COMMUNICATION
dc.description.sourcetitlePragmatics
dc.description.volume12
dc.description.issue2
dc.description.page183-226
dc.description.codenPRAGE
dc.identifier.isiutNOT_IN_WOS
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