Statistical Evaluation of Style Dynamics: Lyrical Poems by V. Nabokov in the Mirror of Parts of Speech

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Abstract

The article utilizes quantitative methods of analysis to obtain objective indices which make it possible to evaluate a separate text and the style of the author. The author applies the techniques of textometry (analysis of PoS ratio, type of description, cumulative sum) in order to establish the degree of text stability /dynamics and stability / variability of individual style in general. The database includes verse texts of Vladimir Nabokov created during different periods of creative activity. Poetry was an essential and inseparable part of his writing (as the writer and poet stated himself) which proves the non-accidental character of parameters of his poetic texts and their high relevance for the study of his style. Only texts not less than 30 lines are included in the database in order to avoid fluctuations in frequency of linguistic elements and ensure comparability of the research material. The use of Busemann and variability coefficients made it possible to define the ratio of verbal / nominal description in the texts, while analysis of cumulative sum – the ratio of nouns / verbs in the texts in dynamics (from the beginning to its end). The calculated power function provides precise approximation of the data. The obtained results support the conclusion about the existence of hidden tendencies in the distribution of words of different parts of speech in Nabokov's text, about the growth of variability of their frequencies in the second period of Nabokov’s creative activity, as well as about steady strengthening of the tendency of text verbality growth over the lifespan of the poet.
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文体动态的统计评价:纳博科夫抒情诗的词性镜像
本文运用定量分析的方法,获得客观的评价指标,使评价单独的文本和作者的风格成为可能。作者运用文本测量技术(分析词序比例、描述类型、累积总和)来确定文本的稳定性/动态性和个人风格的稳定性/可变性程度。该数据库包括纳博科夫在不同创作时期创作的诗歌文本。诗歌是他写作中必不可少的、不可分割的一部分(正如作家和诗人自己所说),这证明了他的诗歌文本参数的非偶然特征,以及它们与研究他的风格的高度相关性。数据库只收录不少于30行的文本,以避免语言要素频率的波动,并确保研究材料的可比性。使用Busemann和变异系数可以定义文本中动词/名义描述的比例,而累积和分析-文本中名词/动词的动态比例(从开始到结束)。计算的幂函数提供了数据的精确近似值。所获得的结果支持了纳博科夫文本中不同词类词汇分布中存在隐藏趋势的结论,支持了纳博科夫创作活动第二阶段词汇频率变异性的增长,支持了纳博科夫一生中文本词性增长趋势的稳步加强的结论。
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