A Study Of Semantic Prosody Of "V_Shuangyu" Structure

Semantic prosody,as an important concept of corpus linguistics,has attracted much attention from the academic community since its introduction.Most of research focuses on the description of semantic prosody of certain words,but ignore the explanation of the mechanism of its generation.This paper takes the commonly used structure V_??in modern Chinses as the research object,and uses related semantic and pragmatic theories to guide the semantic classification of V_??based on corpus.On this basis,the paper describes the semantic prosody description of V_??and discusses the semantic prosody generation mechanism from the aspects of semantic composition framework and pragmatic constraints.Firstly,based on the frequency of use,twelve V_??structures were screened in CCL Corpus,and their semantic classification and labeling were performed with reference to the Lexical Meaning Tag Set.The V_??structure is divided into six categories:participation,mobile,origin,attribution,judgment,and cause,On the basis of the Lexical Meaning Marker Set,combining with the research object,a lexical semantic classification system suitable for V_??was established.Secondly,on the basis of semantic classification,the study of semantic prosody of V_??under different semantic prosody is carried out,and nine semantic prosody norms are constructed.Specifically,it analyzes the collocation words,class connections,and semantic trends of the V_??in different semantic categories,and summarizes the semantic prosody of node words.Then based on the conventional trichotomy of semantic prosody,the dimension of evaluation attitude was introduced to construct a new semantic prosody norm.The semantic prosody norm has two dimensions,which are semantic prosody polarity and assessment attitude.The assessment attitude also includes emotional attitude and stance attitude.The specific expressions are as follows:[Semantic prosody:positive/negative/neutral|emotional attitude/stance attitude:specific attitude meaning].After analysis,the specific attitudes of semantic prosody expressed by the V_??structure of participation,displacement,and cause are emotional attitudes,and the specific attitudes of semantic prosody expressed by the origin,attribution,and judgment structures are stance.Thirdly,based on the class connection extracted in the study of V_??structure semantic prosody,the semantic framework is abstracted and summarized,and the mechanism of semantic prosody generation is discussed from the perspective of semantic combination.The study found that the combinational framework dominated by the meaning of node words between words has an important influence on the generation of semantic rhyme.The specific rule is that it is restricted by the potential semantic combinational framework of node words.Different combinational frameworks can make the meaning of collocation words hidden or prominent to different degrees,thus reflecting different semantic prosody.Finally,a pragmatic study of semantic prosody is conducted from two aspects:the pragmatic attributes of semantic prosody and the influence of pragmatic factors on the generation of semantic prosody.The pragmatic properties of semantic rhyme are specifically manifested as semantic rhyme with a pragmatic evaluation function,and in the process of use,it follows the principles of conversation and politeness.The pragmatic factors that affect the generation of semantic prosody include two aspects:context and subjectivity.The former affects the discourse user's understanding of the meaning of prosody in node words from the aspects of reversal and reinforcement.The latter will promote the lexicalization of the V_??structure and activate the speaker's subjective evaluation attitude implied by semantic prosody.This paper only takes the V_??structure as the research object,and makes a preliminary analysis of the generation mechanism of semantic prosody from the semantic and pragmatic perspectives.Due to the limitation of the research object and the limitation of time and energy,some issues have not been specifically developed,and the relevant conclusions still need to be optimized.