【摘要】：因果關(guān)系作為四大基礎(chǔ)邏輯關(guān)系之一(Halliday and Hasan,1976),是否運(yùn)用恰當(dāng)對(duì)學(xué)術(shù)論文的邏輯性和流暢性起著至關(guān)重要的作用。在學(xué)術(shù)論文寫作中,因果關(guān)系的表達(dá)主要是通過一系列的因果連接詞來準(zhǔn)確傳遞有關(guān)句子之間或段落之間的各種語義聯(lián)系和邏輯聯(lián)系�，F(xiàn)有關(guān)于因果連接詞的研究主要集中在因果關(guān)系的表達(dá)、中外詞語使用對(duì)比、因果連接詞的語篇連貫功能分析,對(duì)于因果連接詞在專業(yè)性的學(xué)術(shù)論文中的使用尚未有所涉及。尤其是近年來隨著我國(guó)對(duì)金融及經(jīng)濟(jì)領(lǐng)域的重視,一大批的學(xué)者也逐步的開始嘗試在國(guó)外高水平期刊發(fā)表關(guān)于我國(guó)金融發(fā)展的專業(yè)性論文,但受制于語言及表達(dá)方面的限制,目前在這一領(lǐng)域中國(guó)學(xué)者的身影并不多見。本文正是基于這一研究熱點(diǎn),從語言學(xué)的角度出發(fā),對(duì)現(xiàn)有高水平的金融期刊學(xué)術(shù)論文進(jìn)行系統(tǒng)的因果連接關(guān)系分析,以期為我國(guó)相關(guān)學(xué)者金融學(xué)術(shù)論文的寫作提供一定的思路和幫助。本文自建“金融類學(xué)術(shù)期刊論文語料庫”,通過計(jì)算機(jī)軟件智能統(tǒng)計(jì)與人工分析相結(jié)合的方式,利用定性分析與定量分析相結(jié)合的研究方法,系統(tǒng)研究金融類學(xué)術(shù)期刊論文中的因果關(guān)聯(lián)詞使用情況。在具體的研究過程中,我們選取三本金融類的學(xué)術(shù)期刊作為研究對(duì)象。其中,所選取的30篇分析語料來源于世界排名前三的三本頂級(jí)金融學(xué)雜志:《Journal of Finance》、《Journal of Financial Economics》和《Review of Financial Studies》,選取的文章均發(fā)表于2010—2015年間,采取隨機(jī)抽取的方式取得,共30篇。這三本雜志均為SSCI檢索刊物,在國(guó)際上具有極大的權(quán)威性。所選取的學(xué)術(shù)論文字?jǐn)?shù)均在1萬個(gè)單詞左右,內(nèi)容圍繞著公司金融、資本市場(chǎng)及銀行金融等方面展開。所選取的語篇具有足夠的權(quán)威性和代表性。本文主要以韓禮德的銜接理論為理論基礎(chǔ),采取莫俊華的分類標(biāo)準(zhǔn)對(duì)語料庫中的因果連接詞進(jìn)行分類,然后利用Ant Conc展開語料庫的標(biāo)記,并進(jìn)一步利用現(xiàn)代計(jì)量分析手段Excel對(duì)標(biāo)記的具體結(jié)果進(jìn)行統(tǒng)計(jì)和分析,最后用定性分析方法來解釋其在論文中的功能。本文共分為五部分。第一章是前言,總體介紹了本文的研究背景,研究意義研究問題和總體框架。第二章從理論上闡述了國(guó)內(nèi)外語言學(xué)家的相關(guān)研究。第三章介紹本研究的理論框架,并介紹了具體的研究方法及研究步驟。第四章針對(duì)前文提出的研究問題對(duì)因果連接詞在語料庫中的使用情況進(jìn)行了定量和定性分析。第五章是結(jié)論,總結(jié)了第四章分析得出的結(jié)論,指出了本文存在的不足之處并對(duì)以后的研究提出了建議。本文主要得出以下幾點(diǎn)結(jié)論:1.在金融類學(xué)術(shù)文章寫作中,作者會(huì)選擇較為普通和簡(jiǎn)單的因果連接詞,以便讀者能夠快速理解作者想要表達(dá)的內(nèi)容;2.金融類學(xué)術(shù)文章多采用演繹式論證,并且連詞(短語)的使用頻率要高于副詞(短語)和介詞(短語);3.連詞(短語)多出現(xiàn)在句子的后部,副詞(短語)多出現(xiàn)在句子的前部,介詞(短語)多出現(xiàn)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.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：H314.2

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