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基于语料库的金融类学术论文中因果连接词研究

发布时间:2018-08-19 10:24
【摘要】:因果关系作为四大基础逻辑关系之一(Halliday and Hasan,1976),是否运用恰当对学术论文的逻辑性和流畅性起着至关重要的作用。在学术论文写作中,因果关系的表达主要是通过一系列的因果连接词来准确传递有关句子之间或段落之间的各种语义联系和逻辑联系。现有关于因果连接词的研究主要集中在因果关系的表达、中外词语使用对比、因果连接词的语篇连贯功能分析,对于因果连接词在专业性的学术论文中的使用尚未有所涉及。尤其是近年来随着我国对金融及经济领域的重视,一大批的学者也逐步的开始尝试在国外高水平期刊发表关于我国金融发展的专业性论文,但受制于语言及表达方面的限制,目前在这一领域中国学者的身影并不多见。本文正是基于这一研究热点,从语言学的角度出发,对现有高水平的金融期刊学术论文进行系统的因果连接关系分析,以期为我国相关学者金融学术论文的写作提供一定的思路和帮助。本文自建“金融类学术期刊论文语料库”,通过计算机软件智能统计与人工分析相结合的方式,利用定性分析与定量分析相结合的研究方法,系统研究金融类学术期刊论文中的因果关联词使用情况。在具体的研究过程中,我们选取三本金融类的学术期刊作为研究对象。其中,所选取的30篇分析语料来源于世界排名前三的三本顶级金融学杂志:《Journal of Finance》、《Journal of Financial Economics》和《Review of Financial Studies》,选取的文章均发表于2010—2015年间,采取随机抽取的方式取得,共30篇。这三本杂志均为SSCI检索刊物,在国际上具有极大的权威性。所选取的学术论文字数均在1万个单词左右,内容围绕着公司金融、资本市场及银行金融等方面展开。所选取的语篇具有足够的权威性和代表性。本文主要以韩礼德的衔接理论为理论基础,采取莫俊华的分类标准对语料库中的因果连接词进行分类,然后利用Ant Conc展开语料库的标记,并进一步利用现代计量分析手段Excel对标记的具体结果进行统计和分析,最后用定性分析方法来解释其在论文中的功能。本文共分为五部分。第一章是前言,总体介绍了本文的研究背景,研究意义研究问题和总体框架。第二章从理论上阐述了国内外语言学家的相关研究。第三章介绍本研究的理论框架,并介绍了具体的研究方法及研究步骤。第四章针对前文提出的研究问题对因果连接词在语料库中的使用情况进行了定量和定性分析。第五章是结论,总结了第四章分析得出的结论,指出了本文存在的不足之处并对以后的研究提出了建议。本文主要得出以下几点结论:1.在金融类学术文章写作中,作者会选择较为普通和简单的因果连接词,以便读者能够快速理解作者想要表达的内容;2.金融类学术文章多采用演绎式论证,并且连词(短语)的使用频率要高于副词(短语)和介词(短语);3.连词(短语)多出现在句子的后部,副词(短语)多出现在句子的前部,介词(短语)多出现在句子的后部。
[Abstract]:As one of the four basic logical relationships (Halliday and Hasan, 1976), the proper use of causality plays an important role in the logic and fluency of academic papers. Current studies on causal connectives mainly focus on the expression of causal relations, the use of Chinese and foreign words, the analysis of the textual coherence function of causal connectives, and the use of causal connectives in professional academic papers have not been touched upon. Especially in recent years, with the development of Finance and economics in China. A large number of scholars have begun to publish professional papers on China's financial development in foreign high-level journals. However, limited by language and expression, there are few Chinese scholars in this field. This paper makes a systematic causal analysis of the academic papers of high-level financial journals in order to provide some ideas and help for the relevant scholars to write financial academic papers in China. In the course of the study, we selected three financial academic journals as the research object. Among them, 30 selected analysis corpus came from the top three financial journals in the world. Journal of Finance, Journal of Financial Economics and Review of Financial Studies. The selected articles were published in 2010-2015 and were obtained by random sampling. All three journals are SSCI retrieval journals, which have great authority in the world. The number of selected academic papers is 10,000. The selected texts are authoritative and representative. Based on Halliday's cohesion theory, this paper classifies causal connectives in the corpus according to Mo Junhua's classification criteria and then uses Ant Conc. This paper is divided into five parts. The first chapter is the preface, which introduces the research background, the research significance and the overall framework. Chapter three introduces the theoretical framework of this study and the specific research methods and steps. Chapter four makes a quantitative and qualitative analysis of the use of causal connectives in corpus. This article mainly draws the following conclusions: 1. In the writing of financial academic articles, the author will choose more common and simple causal conjunctions, so that readers can quickly understand what the author wants to express; 2. Fusion academic articles use deductive reasoning, and conjunctions (phrases) are more frequently used than adverbs (phrases) and prepositions (phrases); 3. conjunctions (phrases) appear at the back of the sentence, adverbs (phrases) appear at the front of the sentence, prepositions (phrases) appear at the back of the sentence.
【学位授予单位】:吉林大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:H314.2

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