A model of a systematic description of argot units incorporated into the fabric of a literary text (based on the novel “Sang dessus dessous” by Claude Izner)

Anna Sergeevna Vysotskaya
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Abstract

As a part of testing the intermediate results of a study of the argotic component in a literary work, this paper examines the elements of traditional and general argot incorporated into the fabric of the modern French crime novel. The model of a multidimensional argot analysis, first proposed by E. M. Beregovskaya and subsequently supplemented by T. I. Retinskaya, allows us to give a versatile characterization of uncodified elements that exist in the everyday speech of representatives of various professional groups. The paper attempts to test a model of a systematic description of argot units compiled on the basis of the key elements of the model of a multidimensional argot analysis and supplemented by the following components: 1) a portrait of the characters using argot units; 2) a functional analysis of argot blocks; 3) a description of the author’s nonce words recorded in the novel. Thus, the aim of the research is to form an algorithm for describing argot units that illuminates the stylistic functions of non-conventional lexemes in a literary text to the fullest extent. The scientific novelty of the research lies in the fact that the components analyzed in this paper were previously used separately, they are being implemented for the first time within the framework of an aggregate model. As a result of the research, the algorithm for a systematic characterization of uncodified lexemes recorded in the text of a literary work has been formed.
系统描述纳入文学文本结构的语言单位的模式(根据克劳德-伊兹内尔的小说《Sang dessus dessous》改编)
作为检验文学作品中的语词成分研究的中间成果的一部分,本文研究了法国现代犯罪小说中的传统和一般语词成分。由 E. M. Beregovskaya 首先提出、随后由 T. I. Retinskaya 补充的多维语法分析模型,使我们能够对法国现代犯罪小说中的传统和一般语法要素进行分析。雷廷斯卡娅(T.I. Retinskaya)的补充,使我们能够对存在于不同职业群体代表日常言语中的未编纂元素进行多方面的描述。本文试图检验一个系统描述语言单位的模型,该模型以多维语言分析模型的关键要素为基础,并补充了以下内容:1) 使用语词单位的人物描写;2) 语词块的功能分析;3) 对小说中记录的作者的非惯用语的描述。因此,研究的目的是形成一种描述语词单位的算法,最大限度地揭示文学文本中非常规词的文体功能。这项研究的科学新颖性在于,本文所分析的成分以前都是单独使用的,现在是首次在一个综合模型的框架内实施。作为研究成果,形成了对文学作品文本中记录的未编纂词条进行系统表征的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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