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陈永胜

华侨大学，中国

 

王雪琳 

暨南大学，中国

 

摘要

幽默作为一种重要的语言表现风格，其生成机制与语言表达特征一直是自然语言处理领域关注的重要问题。基于此，本文引入计量风格学研究范式，以相声文本作为幽默风格载体、电视访谈文本作为非幽默风格对照，对汉语幽默风格的语言特征开展实证分析。研究结果表明 ：（ 1）与非幽默文本相比，汉语幽默风格文本的介词与连词使用比例显著偏低，而形容词与副词使用比例显著偏高 ；（ 2）在语义层面，汉语幽默风格文本表现出更高程度的语义不一致性，反映出其依赖“语义违背”以实现幽默效果 ；（ 3）在情感表达维度，汉语幽默风格以中性情感与一定比例的消极情感相互交织为典型特征，而非幽默风格文本整体呈现出更为鲜明的积极情感倾向。本研究的结果对揭示汉语幽默汉语文本的语言特征及其生成机制具有一定的参考价值，同时为汉语幽默风格研究提供了一种可操作、可检验的量化研究路径。

 

关键词

汉语幽默，计算幽默，语言特征，语言风格，数据驱动

 

A Multidimensional Quantitative Study of the Linguistic Features of Chinese Humorous Style: A Case Study of Xiangsheng Texts
 

Yongsheng Chen

Huaqiao University, China

 

Xuelin Wang

Jinan University, China

 

Abstract

Humor, as an important form of linguistic style, has long been a major topic in natural language processing, especially in relation to its generative mechanisms and linguistic features. In view of this, the present study adopts a quantitative stylistic approach to examine the linguistic features of Chinese humorous style, using xiangsheng texts as representatives of humorous discourse and television interview texts as a non-humorous reference group. The results show that: (1) compared with non-humorous spoken texts, spoken texts with a humorous style in Chinese use significantly lower proportions of prepositions and conjunctions, but significantly higher proportions of adjectives and adverbs; (2) at the semantic level, humorous texts display a higher degree of semantic incongruity, suggesting that they rely on an “expectation-shift” structure to produce humorous effects; and (3) in terms of emotional expression, Chinese humorous style is mainly characterized by an interplay of neutral emotion and a certain proportion of negative emotion, whereas non-humorous texts show a clearer tendency toward positive emotion overall. These findings help reveal the linguistic features and generative mechanisms of Chinese humorous texts, and also provide an operational and testable quantitative approach to the study of Chinese humorous style.

 

Keywords

Chinese humor, computational humor, linguistic features, language style, data-driven