网络语言模糊性的社会语言学研究
[Abstract]:With the rapid development of network language and its influence on various aspects of social culture, the research of network language gradually becomes an important field of social linguistics research. In order to understand this new form of language in the network world, how to choose the entry point becomes the primary problem. The fuzziness is the essential attribute of natural language, so it is also the research object of linguistics. One. It is feasible, innovative and necessary to study the network language from the perspective of fuzzy linguistics. In this paper, from the perspective of sociolinguistics, the characteristics of the fuzziness of the network language are compared from different levels and angles. The research of the whole text mainly focuses on three aspects, namely, the generation mechanism and expression of the network fuzzy language. The network language is a kind of social variant of natural language, which is restricted by linguistic rules, and is restricted by communicative principles and pragmatic habits. Two levels of ambiguity. Based on previous studies, the pattern of fuzzy language configuration is summed up: the first is the construction phase--the speaker determines the pre-language idea or thought to be conveyed; secondly, the conversion stage--converts the idea or idea into a language form; then the pre-language editing stage.--filtering out inappropriate content, selecting appropriate language forms, such as vague terms, sentence structures, and appropriate speech means, etc.; and finally, an expression stage--speaker to select The pre-speech editing phase is the key node of the fuzzy language generation, and the pre-speech editing phase is the key node of the fuzzy language generation. It is decided by the activity of this stage. The formation mechanism of the semantic ambiguity of the network language is not only the same as that of The similarity between the language of the entity and the difference. It is not only because the fuzziness of the network language is mainly formed by the variation of language, but also the fuzzy language of the network is in terms of vocabulary, grammar, semantics, writing, language domain and writing style. The formation of pragmatic ambiguity is a complex and dynamic communication process, and the speaker and the speaker interact with each other in this process. In response, the speaker expresses the implied meaning for the destination, or expresses the attitude of politeness and cooperation, and consciously expresses the force or potential intention outside a speech according to the principle of compliance A fuzzy language; a recipient, after perception of the intention of a discourse, communicates discourse with the hypothesis of association and the principle of best association. In the process of actual communication, the characters of the speaker and the callee are changing constantly, therefore, the two sides communicate with each other The dynamic forming mechanism of pragmatic fuzzy decides that the type of pragmatic fuzzy is a three-dimensional and three-dimensional complex system: from the stage of pragmatic fuzzy formation, the pragmatic fuzzy mark is: the fuzzy logic words, the figurative use of the language. The method is especially metaphor and so on; from the pragmatic fuzzy application stage, the pragmatic fuzzy mark is the follow, deviation or breach of pragmatic principles such as cooperation principle, politeness principle and so on; from the effective stage of pragmatic ambiguity, Pragmatic ambiguity is a passive pragmatic ambiguity and a positive pragmatic ambiguity. In terms of the representation and function of fuzziness in the network language, the fuzzy word is an important mark of semantic ambiguity, which is divided into continuous model. paste words, category fuzzy words, evaluation fuzzy words and The fuzzy word of quantifier. The fuzzy of quantity is the most typical semantic ambiguity phenomenon. The fuzzy quantity of language is roughly divided into the number of fuzzy and the degree of fuzzy. The number of fuzzy includes numerical form fuzzy quantity, complex fuzzy quantity and non-numerical form fuzzy quantity; and degree quantity The blur includes the amount of fuzzy table of degree adverb and the amount of fuzzy table of adjective. According to statistics, the fuzzy quantity in network language the frequency is higher than the entity language and thus exhibits a higher frequency than the physical language, The network language pragmatic fuzzy also has its unique performance. Because of the special context factor of the network communication, it makes all kinds of society The restrictive factors exert different influences in the process of the formation of the pragmatic fuzzy of the network language. The language economy is the primary principle that affects the communication of the network, and the pragmatic ambiguity of the network language is caused from the stage of language formation; the psychological factors, the group behavior character and the gender difference of the Internet users, The characteristics of thinking fixed potential have caused the pragmatic ambiguity of the network language from the language application stage, and the pragmatic ambiguity formed during the effective phase of the network communication is based on the network communication. The communicative intention and post-language efficacy of the person are divided into positive pragmatic ambiguity and negative pragmatic ambiguity. Language ambiguity shows the special pragmatic functions such as entertainment, implication, humor, etc. Both the semantic bleness of the network language and the pragmatic fuzzy phenomenon are closely related to the network context: the fuzzy language of the network depends on the context to realize the form-to-meaning. Transition, on the one hand, the network context becomes the network fuzzy On the other hand, the fuzzy language of the network depends on the context, which is not only dependent on context, but also by means of language. In the derivation of the rules of pragmatics and pragmatics, the rhetorical syllogism is an important mode for the derivation of the ambiguity. In summary, the study uses qualitative and quantitative research methods to explore the fuzziness of network language from the perspective of social linguistics.
【学位授予单位】:上海外国语大学
【学位级别】:博士
【学位授予年份】:2012
【分类号】:H0-05
【参考文献】
相关期刊论文 前10条
1 胡健;试论模糊语义的特征[J];安徽大学学报;2001年06期
2 郭庆;;谈词的歧义、模糊和笼统的区分[J];安徽文学(下半月);2010年02期
3 李先银;汉语个体量词的产生及其原因探讨[J];保定师范专科学校学报;2002年01期
4 丁崇明;语言变异的部分原因及变异种类[J];北京师范大学学报(人文社会科学版);2000年06期
5 谢福霞;谈语用模糊[J];四川职业技术学院学报;2005年02期
6 黄海泉;;网络语言的社会文化解析[J];重庆交通大学学报(社会科学版);2010年01期
7 乔星;;社会语言学视角中的网络语言[J];太原城市职业技术学院学报;2009年02期
8 祝畹瑾;语码转换与标记模式——《语码转换的社会动机》评介[J];国外语言学;1994年02期
9 古川裕;外界事物的“显著性”与句中名词的“有标性”——“出现、存在、消失”与“有界、无界”[J];当代语言学;2001年04期
10 刘乃仲,马连鹏;网络语言:新兴的网络社会方言[J];大连理工大学学报(社会科学版);2003年03期
相关重要报纸文章 前4条
1 商务印书馆汉语编辑室主任 周洪波;[N];光明日报;2001年
2 李贤民;[N];光明日报;2001年
3 北京大学新闻与传播学院教授、博士生导师,北京大学市场与媒介研究中心主任 谢新洲;[N];光明日报;2008年
4 本报见习记者 范昕;[N];文汇报;2009年
相关博士学位论文 前1条
1 杨娟;现代汉语模糊量研究[D];南京师范大学;2007年
相关硕士学位论文 前1条
1 冯丽;模糊限制语的分类及其语用功能研究[D];上海外国语大学;2006年
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