【摘要】：本文以漢語詞匯為研究對象，在分析漢語詞匯的特征以及比較漢語詞匯與其它語系詞匯異同的基礎(chǔ)上給出了漢語詞匯深度的概念，并提出了相應(yīng)的操作性定義。然后，從讀音、書寫形態(tài)、語義與搭配能力及使用頻率等方面來討論詞匯深度的定量刻畫問題。借助數(shù)學(xué)建模的基本理論和方法，對漢語詞匯深度進行了比較合理的量度，建立了結(jié)構(gòu)性數(shù)學(xué)模型并提出了相應(yīng)的求解算法。在此基礎(chǔ)上，對新HSK詞匯表中部分行為動詞做了基于深度的聚類分析，對它們進行重新分級。所得到的各級詞匯的特征比較明顯，易于測量和評價，為新HSK詞匯更科學(xué)合理定級提供參考，同時也對教材編寫、教學(xué)內(nèi)容的選取都有借鑒意義。本文共分為四個部分： 第一部分為引言，這部分提出了漢語詞匯深度這一概念，說明了本課題研究的緣由，交代了研究背景，，綜述了目前國內(nèi)外研究動態(tài)，同時也闡述了本文的研究價值和意義。 第二部分從讀音、書寫形態(tài)、語義與搭配以及使用頻率四個大的方面分析了影響漢語詞匯深度的主要因素，建立了漢語詞匯深度刻畫的結(jié)構(gòu)性數(shù)學(xué)模型，并提出了求解算法。 第三部分針對第二部分所提的模型和算法，利用K-均值聚類分析方法，對從新HSK詞匯表中隨機選取的415個行為動詞做聚類分級，并對結(jié)果做相應(yīng)的解讀和說明。 最后一部分為結(jié)語，這部分以簡練的語言對全文的內(nèi)容進行了概括與總結(jié)，也指出了本文研究的不足及未來的研究設(shè)想。
[Abstract]:On the basis of analyzing the characteristics of Chinese vocabulary and comparing the similarities and differences between Chinese vocabulary and other languages, this paper gives the concept of depth of Chinese vocabulary and puts forward the corresponding operational definition. Then, the quantitative description of lexical depth is discussed from the aspects of pronunciation, writing form, semantic and collocation ability and frequency of use. With the help of the basic theory and method of mathematical modeling, the depth of Chinese vocabulary is measured reasonably, the structural mathematical model is established and the corresponding algorithm is proposed. On this basis, some behavioral verbs in the new HSK vocabulary are analyzed based on depth clustering, and they are reclassified. The characteristics of all levels of vocabulary are obvious, easy to measure and evaluate, which provides a reference for the new HSK vocabulary classification, and also has reference significance for the compilation of teaching materials and the selection of teaching content. This paper is divided into four parts: the first part is the introduction, which puts forward the concept of depth of Chinese vocabulary, explains the reason of this research, explains the research background, and summarizes the current research trends at home and abroad. At the same time, it also expounds the research value and significance of this paper. The second part analyzes the main factors that affect the depth of Chinese vocabulary from the aspects of pronunciation, writing form, semantic and collocation, and frequency of use, establishes the structural mathematical model of depth characterization of Chinese vocabulary, and proposes a solution algorithm. In the third part, according to the model and algorithm proposed in the second part, we use the K-means clustering analysis method to cluster 415 behavioral verbs randomly selected from the new HSK vocabulary, and interpret and explain the results accordingly. The last part is the conclusion, which summarizes and summarizes the content of the paper in concise language, and also points out the deficiency of this study and the future research ideas.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：H195

【參考文獻】

相關(guān)期刊論文 前4條

1 李如龍,楊吉春;對外漢語教學(xué)應(yīng)以詞匯教學(xué)為中心[J];暨南大學(xué)華文學(xué)院學(xué)報;2004年04期

2 張晉軍;解妮妮;王世華;李亞男;張鐵英;;新漢語水平考試(HSK)研制報告[J];中國考試;2010年09期

3 馬花榮;;英語詞匯知識寬度和深度的測評方法[J];科技信息;2009年23期

4 劉紹龍;論二語詞匯深度習(xí)得及發(fā)展特征——關(guān)于詞義與詞綴習(xí)得的實證調(diào)查[J];外語教學(xué)與研究;2001年06期

相關(guān)博士學(xué)位論文 前1條

1 唐東明;聚類分析及其應(yīng)用研究[D];電子科技大學(xué);2010年

本文編號：2417478