字谜生成与猜射机理的认知语言学研究

发布时间：2018-02-07 11:17

本文关键词： 字谜生成猜射认知机理关联理论概念整合理论　出处：《曲阜师范大学》2013年硕士论文　论文类型：学位论文

【摘要】：论文尝试将字谜本体、字谜生成机理与猜射机理问题置于认知语言学研究的研究视野之中，在探明字谜源流、分类、结构与价值的基础之上，选取以常用汉字充当谜底的若干字谜，纳入到研究语料的基本范围之中，采纳关联理论、概念整合理论等认知语言学方法对该问题进行深入探讨。域是字谜本体中生成与猜射机制运行的基础构件，谜面与谜底则分别被看做“源域—目标域”、“显性域—潜性域”、“编码域—解码域”、“已知域—呼应域”四对概念域组合，表征存在与意义相关是域的整合条件。字谜本体的运行程式包括表征、映射与投射，表征是字谜生成与猜射的支点，以语义隐喻形式做基础的象似性类推映射与以部分与整体、特征与意图连通关系为主的相关性跨域映射是实现域间内容连通的桥梁，投射是连接域间结构的纽带。字谜本体的实质是显性域与潜性域、编码域与解码域的对应，，是源域与目标域、已知域与呼域的连通，增加代码表征的丰义性与所指意义的冗余度，借助陌生化与熟知化手段，实现表征·映射·投射程式在源域中运行并最终激活目标域的动态过程。字谜生成机制运行的核心是压缩，生成机制运行的过程是认知线性序列的建立过程，建立连通域间关系的手段和方式，在字谜层面上主要是采纳不同的谜体和谜格。使用随机抽样方法对语料进行量化分析，得到字谜谜体采纳与谜格选择的基本情况。就字谜生成过程中概念整合的连通关系——相似性连通、部分与整体连通、特征与意图连通的情况分别举例分析，最终将字谜生成的机理认定如下：从谜底已知域到谜面呼应域的域间动态连通与概念整合过程，是人类认知系统内部认知线性序列建立并发挥作用的过程，是制谜者根据背景框提示作用与类属空间约束作用，自主采纳谜体和选择谜格的过程，是源域与目标域、已知域与呼应域之间的各种连通关系的选择、建立与压缩的过程。字谜猜射机制运行的关键是解包，猜射机制运行的过程是概念整合的过程。从关联理论中的代码模式、明示—推理模式、关联原则与认知语境出发，利用语言符号形式引导的显义挖掘出背后隐匿的潜义，把握字谜中元语言成分与对象语言成分的取舍。组合、完善与精致是空间整合的重要步骤，依据整合网络框架模型将字谜分为简单型、镜象型、单域型与双域型。字谜猜射机理的实质，是猜谜者根据背景框的提示作用与类属空间的约束作用，有效破解谜体和解析谜格的过程。
[Abstract]:This paper attempts to put the questions of the enigma ontology, the formation mechanism and the guessing mechanism of the puzzles in the research field of cognitive linguistics, on the basis of discovering the origin, classification, structure and value of the puzzles. Several puzzles with common Chinese characters as the answer to the riddle are selected, which are included in the basic scope of the research corpus, and the cognitive linguistic methods such as relevance theory and conceptual integration theory are adopted to study the problem in depth. Domain is the basic component of generating and guessing mechanism in crossword puzzle ontology, and riddle surface and answer are considered as "source-target domain", "dominant domain-latent domain", "coding domain-decoding domain", "known domain-echo domain", respectively. The relation between representation and meaning is the integration condition of domain. The operation program of crossword puzzle ontology includes representation, mapping and projection, representation is the fulcrum of riddle generation and guessing, iconicity analogy mapping based on semantic metaphor and partial and whole mapping. The cross-domain mapping of correlation between feature and intention is the bridge of content connectivity between domains, and projection is the link between domains. The essence of crossword puzzle ontology is the correspondence between dominant domain and latent domain, coding domain and decoding domain. It is the connection between the source domain and the target domain, the connection between the known domain and the call domain, increases the abundance of the code representation and the redundancy of the signified meaning, and by means of defamiliarization and familiarization, Implement the dynamic process of representation, mapping, projecting program running in the source domain and eventually activating the target domain. The core of the generation mechanism of crossword puzzle is compression. The process of generating mechanism is the process of establishing cognitive linear sequence and the means and ways of establishing the relationship between connected domains. At the level of crossword riddles, different puzzles and riddles are adopted. The quantitative analysis of the corpus is carried out by using random sampling method. The basic situation of the adoption of puzzles and the selection of riddle lattices is obtained. Examples are given to illustrate the connectedness of conceptual integration in the generation of puzzles-the connectivity of similarity, the connectivity of part and whole, the connectivity of feature and intention, respectively. Finally, the mechanism of crossword puzzle generation is determined as follows: the process of dynamic connectivity and conceptual integration between the known domain of riddle and the response domain of riddle surface is the process of establishing and exerting the cognitive linear sequence in human cognitive system. It is the process that the enigma maker adopts the riddle body and selects the riddle lattice independently according to the function of background box hint and class space constraint. It is the process of selecting, establishing and compressing all kinds of connected relations between the source domain and the target domain, the known domain and the response domain. The key to the operation of puzzle guessing mechanism is to unpack, and the process of guessing mechanism is the process of conceptual integration. It is an important step of spatial integration to excavate the hidden meaning by using the explicit meaning guided by the language symbol form, to grasp the choice and choice between the meta language component and the object language component in the crossword puzzle, and to perfect and refine it. According to the integrated network framework model, the puzzles are divided into simple type, mirror type, single field type and double field type. The process of effectively solving riddles and resolving riddles.
【学位授予单位】：曲阜师范大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：H0-06;I207.7

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