自主—依存分析框架视角下的网络谐音词生成机制研究

发布时间：2018-06-20 10:02

本文选题：网络谐音词 + 生成机制　；参考：《河南大学》2013年硕士论文

【摘要】：现代社会，网络影响着人们生活的方方面面。人们的网络交流也日益频繁。随之产生的网络语言，具有独特的语言表达效果，备受网民青睐。在网络语言中，网络谐音词占有很大的比例。由于网络谐音词与日常生活中使用的某些常规词语读音相同或相似而形式不同，进而被网民用来替代常规词汇的使用，表达常规词语的意义，产生特殊的表达效果。例如：利用“童鞋”代替“同学”，利用“杯具”代替“悲剧”等。网络谐音词的大量兴起，引起了学者的广泛关注。但多数学者是从修辞，文化，美学等视角对其定义、分类、特点、产生原因等进行描述。很少有学者从认知语言学角度出发，对其生成机制进行研究。少量关于网络谐音词生成机制的研究，，缺乏有效分类，仅以个别网络谐音词的生成过程作为分析对象，没有关注到不同种类网络谐音词生成过程的差别，过于笼统，缺乏系统性。鉴于此，本文拟从认知语用学角度出发，以徐盛桓教授提出的“自主—依存分析框架”为理论基础，对网络谐音词的生成机制进行系统，全面的研究。本文以汉语网络环境下的谐音词为研究对象，这里的谐音词既包括语音相同也包括语音相近的词语。所以为了区别于英语中的“Homophones”，明确研究对象范围，本文采用新术语“xieyinci”，以便于讨论。被替代的常规词语称为“本体”，与之相对应的网络谐音词称为“谐体”。本文的理论基础是徐盛桓的“自主—依存分析框架”。该理论主要用于探讨语言表达形式生成的机制。“自主—依存分析框架”认为：话语的表达包含隐性表述和显性表述。隐性表述是说话者大脑中要表述的相对完备的意思，体现为自主成分。显性表达是依附于隐性表达的，体现为依存成分。话语的生成过程是自主成分在交际意向性制约下，以相邻/相似关系为基础，推衍出依存成分。二者构成自主—依存联结。自主成分顺势对依存成分发生“拈连”作用，于是依存成分便具有了自主成分的意义和用法。意向性包括意向内容和意向态度。意向内容就是说话者要表达的意思，意向态度制约着语言表达形式的选择。为了便于网络谐音词生成机制的分析，本文根据网络谐音词及其代替的常规词语意义之间的关系，将网络谐音词分为两大类：一类是，谐音词表达的意义完全是常规词语的意义。另一类是，谐音词表达的意义是在常规词语意义基础上，添加了新的意义。本文依据“自主—依存分析框架”，对两种类型的网络谐音词的生成过程进行了详细的分析，并得出了统一的生成机制。具体来说，网络谐音词的生成机制可以概括为：网络谐音词的生成源于说话者的意向性。意向性包括意向内容和意向态度。意向内容，即自主成分，首先在意向态度制约下，基于相邻/相似关系，推衍出能够表达完全意向内容或部分意向内容的常规词汇，即依存成分。已被推衍出的常规词汇，作为二次推衍的自主成分，进一步在意向性制约下，基于相邻/相似关系推衍得出网络谐音词，即二次推衍的依存成分。本文为网络谐音词进行了新的分类，在此基础上，结合徐盛桓的“自主—依存分析框架”对网络谐音词的生成过程做出了系统、全面的分析。并得出了网络谐音词的统一生成机制。希望本文对以后的研究有所帮助。
[Abstract]:In modern society, the network affects all aspects of people's life. People's network communication is becoming more frequent. The resulting network language has a unique language expression effect and is favored by Internet users. In the network language, the network homonym occupies a large proportion. Because of the network harmonics and some conventional words used in daily life It is the same or similar form, which is used to replace conventional words by netizens, to express the meaning of conventional words and to produce special expressions. For example, the use of "child shoes" instead of "classmate" and "Cup" instead of "tragedy". The rise of network homophonic words has aroused extensive attention of scholars. From the perspective of rhetoric, culture and aesthetics, the author describes its definition, classification, characteristics and causes. Few scholars have studied its generation mechanism from the perspective of cognitive linguistics. A few studies on the formation mechanism of network homophonic words, lack of effective classification, only take the formation process of individual network homophonic words as the analysis object. There is no concern about the difference in the formation of different types of network homophonic words, which is too general and systematic. In view of this, this paper, from the perspective of cognitive pragmatics, is based on the theory of "independent - dependency analysis" proposed by Professor Xu Shenghuan to carry out a systematic and comprehensive study of the mechanism of the formation of network homophonic words.
In this paper, the homophonic words in the Chinese network environment are studied. The homophonic words here include both the same speech and the similar words. So in order to distinguish the object range from "Homophones" in English, the new term "xieyinci" is used in this paper to discuss. The conventional words which are replaced are called "ontology". The homophonic word corresponding to it is called "harmonic body".
The theoretical basis of this paper is Xu Shenghuan's "independent - dependency analysis framework". This theory is mainly used to explore the mechanism of the formation of language expression. "Independent - dependency analysis framework" holds that the expression of discourse contains implicit and explicit expressions. Recessive expression is a relatively complete meaning expressed in the speaker's brain and is embodied in the expression. The dominant expression is dependent on the implicit expression, which is embodied as the dependent component. The process of the generation of discourse is the independent component, under the restriction of communicative intention, based on the adjacent / similar relationship, and derivation of the dependent components. The two forms the independent interdependence. The composition has the meaning and usage of the independent component. Intentionality includes intentional content and intention attitude. Intentional content is the meaning of the speaker, and the intention attitude restricts the choice of the language expression form.
In order to facilitate the analysis of the formation mechanism of the network homophonic words, this paper divides the network homophonic words into two categories according to the relationship between the network homophone and its replacement. One is that the meaning of the homophonic words is entirely the meaning of the conventional words. The other is that the meaning of the homophonic words is based on the meaning of the conventional words, According to the "independent - dependency analysis framework", this paper makes a detailed analysis of the generation process of two types of network homophonic words, and draws a unified generation mechanism. Specifically, the generation mechanism of the network homophonic words can be summarized as the intention of the speaker and intentionality. Intentional content and intention attitude. Intentional content, namely, independent component, first, under the restriction of intentional attitude, based on the adjacent / similar relationship, derivation of the conventional vocabulary that can express the content of full intention or part of intentional content, that is, the conventional vocabulary, which has been pushed out, as the two independent component, and further in intentionality. Under constraint, we derive the homophonic word based on the adjacency / similarity relation, that is, the dependent component of the two derivative.
In this paper, a new classification of network homophonic words is made. On this basis, combined with Xu Shenghuan's "independent and dependency analysis framework", this paper makes a systematic and comprehensive analysis of the generation process of the network homophonic words, and draws the unified generation mechanism of the network homophonic words. I hope this paper will be helpful to the future research.
【学位授予单位】：河南大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：H136

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