Study On Word Order Of Multi-Item Attribute Of Binding Noum |
Posted on:2013-07-01 | Degree:Master | Type:Thesis |
Country:China | Candidate:Z W Chen | Full Text:PDF |
GTID:2235330374977316 | Subject:Linguistics and Applied Linguistics |
Abstract/Summary: | PDF Full Text Request |
Word order is always an important field which is paid specialattention to in the academia of grammar. The word order of theattribute is paid even more attention to. Since the publication ofMashiwentong, a lot of research has been done on the word order ofthe multi-item attribute in modern Chinese. Problems concerned havebeen discussed from different angles. However, no thorough researchhas been done on the word order of the multi-item attribute so far. Onthe basis of the bygone research, this paper will discuss the word orderof the multi-item attribute of the binding noun, borrowing the Theory ofStructuralism, the Theory of Semantic Field and relevant theory andcombining description and explanation.Chapter1mainly introduces the present situation of the researchon the word order of the multi-item attribute,the research method andtheory, the value of the research subject and the source of corpus.Chapter2classifies the semantic relation between various nounsfrom the semantic angle, trying to list as many semantic relationsbetween nouns as possible.Chapter3combines different semantic relations by means of theCombination method in mathematics, judge different order of different semantic relations and conclude the complete semanticsequence of the combining noun through the conductibility ofsemantic order.Chapter4explains the word order of the multi-item attribute fromthe semantic angle using the theory of Semantic Field and the Theory ofSemantic Approximation. This chapter also explains the close relationbetween the special meaning of the multi-item attribute and the kernelnoun from the angle of semantic activation.Chapter5summarizes the whole paper. |
Keywords/Search Tags: | Binding, multinomial attribute, Word order of themulti-item attribute, Demotion predication, Semantic activation |
PDF Full Text Request |
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