基于语料库的能源科技论文摘要的词块特征研究

发布时间：2018-06-25 15:25

本文选题：词块 + 摘要　；参考：《东华大学》2013年硕士论文

【摘要】：词块是短语学的重要组成部分,词块特征的研究也一直占据着语料库语言学发展的中心位置。词块的应用在流利的语言产出中十分重要。基于语料库的研究范式产生了一种客观的基于频率的方法,为研究者们提供了一种新的研究词块特征的方法。英语学术论文是学术工作者展示研究成果的重要途径。作为学术论文语篇的精华部分,摘要是读者了解学术论文研究问题和基本内容的重要媒介。国内外的学者从不同角度对摘要进行了探讨和研究。本文采用语料库语言学的方法,以东华大学外语学院创建的科学英语学术论文语料库(DHEST)中的子库—能源科技英语学术论文摘要语料库(CEAERA)为研究对象和数据基础,利用KfNgram软件和Wordsmith软件对能源科学英语学术论文摘要语料库中词块部分的词频信息进行定量分析,分别提取出3词词块、4词词块和5词词块。在此基础上对数据进行必要的人工删除,得出用于本文研究的核心数据。本文基于241,463词容的CEAERA,对摘要部分高频词块的形式、功能特点以及语言特征进行总体描述和分析。根据Altenberg(1998)的短语学研究范式将CEAERA中的词块分为3个结构类。运用李晶洁提出的短语序列语篇研究的三维模型,分析3词、4词和5词词块的功能特点,探讨摘要部分词块的语言特征在构建语篇中起到的作用,为学术论文摘要部分的写作提供一定程度的学术帮助和借鉴。
[Abstract]:Lexical chunks are an important part of phrasology, and the study of lexical chunks has always occupied a central position in the development of corpus linguistics. The application of lexical chunks is very important in fluent language production. Corpus-based research paradigm produces an objective frequency-based approach, which provides a new method for researchers to study lexical chunks. English academic papers are an important way for academic workers to demonstrate their research results. As the essence of academic papers, abstract is an important medium for readers to understand the research problems and basic contents of academic papers. Scholars at home and abroad have discussed and studied the abstract from different angles. In this paper, a Corpus Linguistics approach is used to study the subdatabase of Scientific English academic papers Corpus (DHEST), which is created by the School of Foreign languages of Donghua University, and the CEAERA (Energy Science and Technology English academic Paper Abstract Corpus) as the research object and data base. By using KfNgram software and Wordsmith software, the word frequency information of lexical chunks in the corpus of abstracts of English academic papers for energy science were quantitatively analyzed, and three word chunks and four word chunks and five word chunks were extracted respectively. On the basis of this, the core data used in this paper is obtained by manually deleting the data. Based on CEAERAA of 241463 word content, this paper describes and analyzes the form, function and language features of the abstract part of high frequency lexical chunks. The lexical chunks in CEAERA are divided into three structural classes according to Altenberg's (1998) phrasology paradigm. Using the three-dimension model of phrase sequence discourse research proposed by Li Jingjie, this paper analyzes the functional characteristics of three words, four words and five words chunks, and probes into the role of the language features of some words chunks in the construction of discourse. To provide a certain degree of academic help and reference for the writing of abstracts of academic papers.
【学位授予单位】：东华大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：H315

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