Representativeness of the Phraseological Zones in “The Great Universal Dictionary of the Russian Language”

Lidia G. Zolotykh, E. Baryshnikova, O. Kosmacheva
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Abstract

The phraseological array and the universal content of the phraseological zones of dictionary entries in “The Great Universal Dictionary of the Russian Language”, wherein phraseological units are repeatedly presented depending on the grammatically supporting component according to the alphabetical arrangement of a heading word, are of interest in the aspect of a research corpus for creating a vocabulary of an online Russian phraseological dictionary (VORPD). The purpose of the study is to determine the indicators of the representativeness of phraseological zones in the structure of the explanatory dictionary and present phrase-statistical models of the frequency ratio of heading words as a structural-semantic component of phraseological units in alphabetical order. The materials of the research make 2545 phraseological zones grouped according to the letters of the Russian alphabet. Combinations of the linguo-statistical method, the sampling method in the empirical study, and the methods of statistical modelling were used as a part of the research corpus. The scientific novelty of the research is determined by the conceptual approach to the “The Great Universal Dictionary of the Russian Language” - an explanatory paper dictionary - as a lexicographic corpus in the study of the usage (frequency) of phraseological zones in dictionary entries. The parameters of the representativeness of phraseological zones define the general linguistic set and the selective linguistic set as a working corpus. Phrase-statistical models are grouped according to the domain of definition - the set of all heading words fixed by one letter of the Russian alphabet. A consideration of phraseological zones is aimed at a detailed study of their quantitative characteristics and the percentage ratio of statistical sampling parameters. The technology of the study and the formula for calculating the indicators of phrase-statistical modelling are given. The results of the study are illustrated by diagrams and determine the objectivity of the research corpus, its nuclear and peripheral spaces. These factors will be a determinant for modelling the vocabulary of the pilot corpus of the electronic dictionary aimed at the semantic realization of phraseological units.
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《俄语大通用词典》中语词带的代表性
《俄语通用大词典》中词典词条的短语阵列和短语区的通用内容,其中根据标题词的字母排列,根据语法支持成分重复呈现短语单位,对创建在线俄语短语词典(VORPD)的词汇的研究语料库方面感兴趣。本研究的目的是确定解释性词典结构中短语区域代表性的指标,并提出标题词频率比的短语统计模型,作为按字母顺序排列的短语单位的结构语义组成部分。研究材料根据俄语字母表的字母组成了2545个短语区。将林国统计方法、实证研究中的抽样方法和统计建模方法相结合作为研究语料库的一部分。这项研究的科学新颖性是由《俄语通用大词典》(一本解释性纸质词典)的概念方法决定的,该词典是研究词典条目中短语区使用(频率)的词典编纂语料库。短语区域的代表性参数定义了作为工作语料库的一般语言集和选择性语言集。短语统计模型根据定义域进行分组,定义域是由俄语字母表中的一个字母固定的所有标题词的集合。考虑措辞区的目的是详细研究其数量特征和统计抽样参数的百分比比率。给出了研究技术和短语统计建模指标的计算公式。研究结果用图表说明,并确定了研究语料库、其核心空间和外围空间的客观性。这些因素将是电子词典试点语料库词汇建模的决定因素,旨在实现短语单位的语义。
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来源期刊
RUDN Journal of Language Studies, Semiotics and Semantics
RUDN Journal of Language Studies, Semiotics and Semantics Arts and Humanities-Language and Linguistics
CiteScore
1.20
自引率
0.00%
发文量
54
审稿时长
16 weeks
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