自有电子资源 "俄罗斯诗歌亚美尼亚文本 "名称词典的宏观和微观结构模型

Nina Bubnova
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引用次数: 0

摘要

文章介绍了在"'俄罗斯诗歌的亚美尼亚文本'电子资源:俄罗斯文学地方文本的代表 "项目框架内开发的专有名词词典结构的特点,该词典在所研究的地方文本中发挥作用。在字典的宏观结构中,应该选出 "核心",其中包括在整个分析材料中使用频率指数较高的专名单位(主要是人名词和地名),以及构成所谓专名背景的低频率名称的外围区域。词典的微观结构由三个词汇区组成:主题信息、语言信息和附加信息。字典条目的主题区包括名称携带者的基本信息,并根据标题单位的类型和状态建立。语言区的要素包括名称的重音、语法和派生特征以及词源信息。附加信息区包含链接到所收集语料库中发现分析过的拟词法单元的所有文本(最重要的文本,例如,在标题中包含的文本,可以在词典条目文本中给出),以及包含在名称的联想和文化背景中的信息(如果存在和阐释)。词典词条的数量和内容将由所描述的具体词条的个别属性决定。
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Macro- and Microstructure Model of the Dictionary of Names of Own Electronic Resource «Armenian Text of Russian Poetry»
The article presents the characteristics of the structure of the dictionary of proper names, functioning in the studied local text, developed within the framework of the project «Electronic resource “Armenian text of Russian poetry”: representation of the local text of Russian literature». In the macrostructure of the dictionary, it is supposed to single out the «core», which includes onomastic units (mainly anthroponyms and toponyms) with high indices of frequency of use within the entire analyzed material, and a peripheral area of low-frequency names that form the so-called onomastic background. The microstructure of the dictionary will be made up of three vocabulary zones: subject information, language information and additional information. The subject area of a dictionary entry includes basic information about the bearer of the name and is built in accordance with the type and status of the heading unit. The elements of the language zone are the accentological, grammatical and derivational characteristics of the name and information about its etymology. The additional information zone contains links to all texts of the collected corpus in which the analyzed onomastic unit is found (the most significant texts, for example, where they are included in the title, can be given in the text of the dictionary entry), as well as information included in the associative and cultural background of the name (in case of its presence and explication). The volume and content of dictionary entries will be determined by the individual properties of the specific onym being described.
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