导 师: 袁传有
学科专业: 050211
授予学位: 硕士
作 者: ;
机构地区: 广东外语外贸大学
摘 要: 本论文基于语篇信息理论和评价理论,尝试性地分析学术写作中抄文与原文之间的相似性,旨在提取一系列能够有效鉴别学术语篇相似性的参数。论文采用定性及描述性的研究方法,分别从宏观和微观角度对比分析抄袭案例中抄文与原文之间的相似性,从而提取出有效的宏观参数和微观参数。此外,论文还通过实验方法验证所提取宏观参数的有效性。 研究发现:一、提取出的宏观参数包括信息结构与发展、核心命题、信息密度以及信息点,能够鉴别出语篇宏观信息结构,另外,该研究还分别根据信息点的频率和主客观程度对其进行了分类。二、提取出的微观参数有态度资源、级差资源以及个体、过程和环境,在微观层面对相似性语篇进行更加细致深入的分析与鉴别;三、关于宏观参数的有效性,在实验中,通过综合分析宏观参数综合鉴别出六篇抄袭摘要中的五篇。 本论文的创新之处在于为学术语篇的相似性鉴别提供新的研究视角,即语篇信息和评价理论视角,具有理论和实践价值。理论上,丰富了语篇信息理论和评价理论的研究;实践上,为相似性鉴别提供语言学上的佐证,避免学术重复,节约学术资源。 This thesis has tentatively conducted similarity analysis between original andplagiarized academic papers based on discourse information theory and appraisaltheory. The objective of this paper is to extract a set of macro and micro featureseffective for such similarity analysis. In this thesis, qualitative and descriptivemethods were employed to extract the macro and micro features. Then, an experimentwas conducted to evaluate the reliability of the extracted macro features. The research findings are as follows: firstly, four major types of structuralfeatures, namely, information structure, kernel proposition, information density andinformation knots, are extracted as features to detect the similarities from macro level.As with information knot types, we have categorized them according to the frequencyand the degree between subjectivity and objectivity. Secondly, such micro features asattitudinal evaluations, graduations and information element types, including Process,entity and condition are extracted for more delicate analysis of similarity between theoriginal and the plagiarized version. Thirdly, as with the effectiveness of the macrofeatures, via the combination of all structural features with the exception ofinformation density, we have identified five of the six plagiarized experimentalabstracts. This research distinguishes itself from other similarity analyses because of itsnew angle of study, that is, the adoption of discourse information and appraisalperspectives. Theoretically and practically, this paper is significant in this area.Theoretically, it enriches the research of discourse information and appraisal theory.Practically, it improves similarity analysis from linguistic perspective, consistent withits aim of saving academic resources and avoiding academic repetition.
分 类 号: [H05]
领 域: [语言文字]