ECM与心智视窗视角下新闻语篇连贯的CEDS模型的可行性研究
发布时间：2018-10-15 08:31
【摘要】：十九世纪七十年代开始,语篇研究逐渐成为语言学研究领域的热点问题,国内外学者从不同角度对此作了深入的分析和研究。语篇连贯更是语篇研究中的核心话题。对于语篇连贯的分析方法主要分为以下三种：静态分析,动态分析和多维度分析方法。随着认知科学与认知语言学的发展,动态分析方法为多数学者认可。但是动态分析方法侧重于语篇动态场景的分析,并且依然注重语篇线性结构的分析与研究,忽略了语篇层级结构的连贯模式。 本文以事件域认知模型和心智视窗理论为基础,以新闻语篇为分析语料,提出并证实当前事件域语篇空间模型在新闻语篇连贯分析中的可行性。当前事件语篇空间既具备事件域认知模型层级性的特点,同时强调语篇平行线性结构的发展过程；更兼顾语篇中的动态和静态场景的分析。本论文以事件作为理解和分析语篇的基础,提出事件域下语篇连贯的宏观模型。 本文的研究目的可以归纳为以下三点：第一,为语篇连贯研究提供新的方法,这一方可以同时从静态与动态角度对语篇的线性结构和层级结构进行分析；第二,构建当前事件域语篇空间模型,帮助分析新闻语篇中蕴藏的语篇之间的宏观连贯模型；第三,希望能够提高学习者对于新闻语篇连贯的认知能力,使读者更加深刻的理解新闻语篇。 本文研究结果指出,当前事件域语篇空间模型适用于新闻语篇连贯的研究。读者可以通过语篇连贯宏观角度分析,把看似毫无关联的语篇组织成一个完整的事件,从而得到相对完整的理解。同时,可以提高学生阅读,写作和翻译等语言能力。
[Abstract]:Since the 1870s, discourse research has gradually become a hot topic in the field of linguistics, which has been deeply analyzed and studied by scholars at home and abroad from different angles. Discourse coherence is a core topic in discourse research. There are three approaches to discourse coherence analysis: static analysis, dynamic analysis and multidimensional analysis. With the development of cognitive science and cognitive linguistics, dynamic analysis method is accepted by most scholars. However, dynamic analysis focuses on the analysis of discourse dynamic scenes, and still pays attention to the analysis and research of discourse linear structure, neglecting the coherence model of discourse hierarchical structure. On the basis of event domain cognitive model and mental window theory, this paper proposes and verifies the feasibility of the current event domain discourse space model in news discourse coherence analysis. The current event discourse space not only has the characteristics of hierarchical event domain cognitive model, but also emphasizes the development process of the parallel structure of the text, and takes into account the analysis of the dynamic and static scenes in the discourse. Based on events, this thesis proposes a macro model of discourse coherence in event domain. The purpose of this thesis can be summarized as follows: first, it provides a new method for the study of discourse coherence, which can simultaneously analyze the linear and hierarchical structure of the text from both static and dynamic perspectives. Constructing the current event domain discourse spatial model can help to analyze the macro coherence model between news discourses. Thirdly, it is hoped to improve learners' cognitive ability for news discourse coherence. Let the reader understand the news text more deeply. The present research results show that the current event domain discourse spatial model is suitable for the study of news discourse coherence. The reader can organize the seemingly unrelated text into a complete event from the macro perspective of discourse coherence and get a relatively complete understanding. At the same time, students can improve their reading, writing, translation and other language skills.
【学位授予单位】：辽宁师范大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：H05
本文编号：2271963
[Abstract]:Since the 1870s, discourse research has gradually become a hot topic in the field of linguistics, which has been deeply analyzed and studied by scholars at home and abroad from different angles. Discourse coherence is a core topic in discourse research. There are three approaches to discourse coherence analysis: static analysis, dynamic analysis and multidimensional analysis. With the development of cognitive science and cognitive linguistics, dynamic analysis method is accepted by most scholars. However, dynamic analysis focuses on the analysis of discourse dynamic scenes, and still pays attention to the analysis and research of discourse linear structure, neglecting the coherence model of discourse hierarchical structure. On the basis of event domain cognitive model and mental window theory, this paper proposes and verifies the feasibility of the current event domain discourse space model in news discourse coherence analysis. The current event discourse space not only has the characteristics of hierarchical event domain cognitive model, but also emphasizes the development process of the parallel structure of the text, and takes into account the analysis of the dynamic and static scenes in the discourse. Based on events, this thesis proposes a macro model of discourse coherence in event domain. The purpose of this thesis can be summarized as follows: first, it provides a new method for the study of discourse coherence, which can simultaneously analyze the linear and hierarchical structure of the text from both static and dynamic perspectives. Constructing the current event domain discourse spatial model can help to analyze the macro coherence model between news discourses. Thirdly, it is hoped to improve learners' cognitive ability for news discourse coherence. Let the reader understand the news text more deeply. The present research results show that the current event domain discourse spatial model is suitable for the study of news discourse coherence. The reader can organize the seemingly unrelated text into a complete event from the macro perspective of discourse coherence and get a relatively complete understanding. At the same time, students can improve their reading, writing, translation and other language skills.
【学位授予单位】：辽宁师范大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：H05
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