發(fā)布時(shí)間：2023-02-23 19:57

　　漢語(yǔ)冷笑話作為一種特殊語(yǔ)言現(xiàn)象,越來(lái)越受到中國(guó)人的歡迎。而漢語(yǔ)冷笑話的幽默正是基于在敘述過(guò)程中笑點(diǎn)的缺失的一種特殊幽默形式。漢字的“冷”說(shuō)明了漢語(yǔ)冷笑話的特性,即用一種不合邏輯荒謬的推理來(lái)娛樂(lè)大眾。 就冷笑話的研究現(xiàn)狀來(lái)看,大部分的研究從語(yǔ)用學(xué)的角度用關(guān)聯(lián)理論或言語(yǔ)行為理論對(duì)冷笑話加以解釋,把其看作是一種明示推理的交際行為。較少關(guān)注運(yùn)用概念整合理論來(lái)進(jìn)行研究。本文試從認(rèn)知語(yǔ)言學(xué)的角度運(yùn)用概念整合理論對(duì)冷笑話加以闡述,望其對(duì)相關(guān)領(lǐng)域的深層次研究略盡綿薄之力。 運(yùn)用概念整合理論解釋冷笑話,一方面,利用概念整合的網(wǎng)絡(luò)和圖表形式展現(xiàn)冷笑話的幽默效果,使冷笑話的內(nèi)在機(jī)制得以深刻透徹的理解,從而使人們更加容易理解和欣賞冷笑話的這種特殊幽默形式。另一方面,運(yùn)用概念整合理論對(duì)自然話語(yǔ)進(jìn)行分析,更加可以證明概念整合理論有其強(qiáng)大的闡釋力,從而有助于加深人們對(duì)這一新興理論的了解和認(rèn)識(shí)。 通過(guò)將語(yǔ)料與相關(guān)理論結(jié)合,并運(yùn)用實(shí)例分析過(guò)后,我們發(fā)現(xiàn)基于CIT的可及原則,我們發(fā)現(xiàn)當(dāng)幽默言語(yǔ)中的語(yǔ)用鏈接是閉合時(shí),這類笑話可歸類為冷笑話的范疇,通過(guò)對(duì)比,我們可以在理論上清楚地區(qū)分冷笑話和傳統(tǒng)意義上的笑話。 在漢語(yǔ)冷笑話中...

【文章頁(yè)數(shù)】：74 頁(yè)

【學(xué)位級(jí)別】：碩士

【文章目錄】：
Abstract
摘要
Chapter One Introduction
    1.1 Definition of Chinese "cold" Joke
    1.2 Significance of the Study
    1.3 the Objectives of the Study
    1.4 the Methodology and Data Collection
    1.5 Outline of the Thesis
Chapter Two Literature Review
    2.1 the Interpretation of Chinese "cold" Joke in English
    2.2 Structure Types of Chinese "cold" Joke
    2.3 Studies Done at Home
    2.4 Chinese "cold" Joke vs. Relevant Terms
    2.5 Studies of CIT in China
    2.6 Summary
Chapter Three Framework of Conceptual Integration Theory
    3.1 Conceptual Integration Theory
    3.2 Network Model of CIT
        3.2.1 the Four-Space Model
        3.2.2 Projection between Counterpart Connections
        3.2.3 Generic Space
        3.2.4 Blending
        3.2.5 Selective Projection
        3.2.6 Emergent Structure
    3.3 Integration Network Types
    3.4 Summary
Chapter Four Application of CIT to Interpretation of Chinese"cold"Jokes
    4.1 Introduction
    4.2 Ways of Constructing Humor in Chinese"cold"Jokes
    4.3 Approaching Verbal Humor in Chinese"cold"Jokes from CIT
        4.3.1 Simplex Networks
        4.3.2 Mirror Networks
        4.3.3 Single-Scope Networks
        4.3.4 Double-Scope Networks
    4.4 Summary
Chapter Five Conclusion
    5.1 Major Findings of the Study
    5.2 Limitations of the Study
    5.3 Suggestions for Further Research
Acknowledgements
Bibliography



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