Part-of-Speech Sequences in Literary Text: Evidence From Ukrainian

Rovenchak, Andrij; Buk, Solomija

doi:10.1080/09296174.2017.1324601

Cited by 20 publications

(14 citation statements)

References 29 publications

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“…For an excellent review of the empirical settings where power laws is a valid device for representing related phenomena and some theoretical explanations of such a way to fit data, we refer to [54]. In agreement with other linguistic studies [49,61,1,2,8,65], we have tested the validity of the Zipf-Mandelbrot law in properly fitting the data by implementing a best-fit optimization procedure [79,80,43]. In this preliminary phase, we have found statistical compliance of the considered dataset with Zipf-Mandelbrot law, even in presence of (quite) negligible deviations at low ranks (see the fourth step below for a comment on this).…”

Section: Introductionsupporting

confidence: 60%

Words ranking and Hirsch index for identifying the core of the hapaxes in political texts

Ficcadenti,

Cerqueti,

Ausloos

et al. 2020

Preprint

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This paper deals with a quantitative analysis of the content of official political speeches.We study a set of about one thousand talks pronounced by the US Presidents, ranging from Washington to Trump. In particular, we search for the relevance of the rare words, i.e. those said only once in each speech -the so-called hapaxes. We implement a rank-size procedure of Zipf-Mandelbrot type for discussing the hapaxes' frequencies regularity over the overall set of speeches. Starting from the obtained rank-size law, we define and detect the core of the hapaxes set by means of a procedure based on an Hirsch index variant. We discuss the resulting list of words in the light of the overall US Presidents' speeches. We further show that this core of hapaxes itself can be well fitted through a Zipf-Mandelbrot law and that contains elements * Corresponding author.

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Section: Introductionsupporting

confidence: 60%

Words ranking and Hirsch index for identifying the core of the hapaxes in political texts

Ficcadenti,

Cerqueti,

Ausloos

et al. 2020

Preprint

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“…This is a serious problem, and the way to solve it passes through the application of reasonable and universal principles determining the means for the creation of mathematical models. Those means are nothing else but the approaches developed and used by physicists in order to successfully model systems of various origins, including the linguistic ones (see, e.g., works [25][26][27][28][29][30] and references therein).…”

Section: Physical Approach To Modelingmentioning

confidence: 99%

Physics Beyond Physics: Application of Physical Approaches in Quantitative Linguistics

Васильев¹,

Васильева²

2020

Ukr. J. Phys.

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The application of physical methods to solve non-physical problems has been considered. In particular, the prospects of physical approaches in quantitative linguistics are analyzed. The difference between the physical and non-physical methods is illustrated by an example of already existing “classical” models. A few mathematical models which make it possible to determine the rank-frequency dependence for words in a frequency dictionary, as well as the dependence of the dictionary volume on the text length, are proposed. It is shown that the physical approaches and principles that are used in physics can also be successfully applied to create mathematical models in linguistics.

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“…In the framework of this approach, systems of different nature are analyzed from the same position. The list of problems that have been successfully solved and are being solved using the methods of the physics of complex systems contains the analysis of transport systems [6][7][8], socioeconomic links [9][10][11][12][13][14][15][16], text structures and characteristics [17][18][19][20][21][22][23][24][25][26][27], and much more other things.…”

Section: Introductionmentioning

confidence: 99%

Векторна Модель Аналізу Стилістики Текстів

2021

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Стаття присвячена застосуванню фiзичних пiдходiв до аналiзу авторських стилiв українських письменникiв. Пропонується модель, у якiй лiтературнi стилi описуються векторами одиничної довжини в багатовимiрному просторi. Числовою характеристикою стилю є результат скалярного добутку вiдповiдного вектора на вектор, який визначає загальний стиль для групи авторiв. Показано, що цей параметр лiнiйним чином залежить вiд рангу автора. Така залежнiсть пiдтверджує гiпотезу приєднання до бiльшостi, вiдповiдно до якої автори, вибираючи стиль, орiєнтуються на стиль своїх успiшних колег.

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Part-of-Speech Sequences in Literary Text: Evidence From Ukrainian

Cited by 20 publications

References 29 publications

Words ranking and Hirsch index for identifying the core of the hapaxes in political texts

Words ranking and Hirsch index for identifying the core of the hapaxes in political texts

Physics Beyond Physics: Application of Physical Approaches in Quantitative Linguistics

Векторна Модель Аналізу Стилістики Текстів

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