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https://repository.ldufk.edu.ua/handle/34606048/32325
Title: | Large-Scale Studies of the Repetition Characteristic for Different Models of Symbolic Sequences |
Authors: | Кушнір, Олег Іваніцький, Любомир Кашуба, Андрій Мостова, Мар'яна Михайлюк, Віталій Kushnir, O. S. Ivanitskyi, L. B. Kashub, А. І. Mostova, M. R. Mykhaylyk, V. B. |
Keywords: | repetition characteristic symbolic sequences random texts Simon mode Markov chains monkey texts |
Issue Date: | 26-May-2021 |
Citation: | Large-scale studies of the repetition characteristic for different models of symbolic sequences / Kushnir O. S., Ivanitskyi L. B., Kashuba A. I., Mostova M. R., Mykhaylyk V. B. // IEEE 12th International Conference on Electronics and Information Technologies, ELIT. – Proceedings, 2021. – P. 61–66. DOI: 10.1109/ELIT53502.2021.9501102 (Scopus) |
Series/Report no.: | наукові праці професорсько-викладацького складу ЛДУФК імені Івана Боберського в базах даних Scopus та WoS; |
Abstract: | Using a standard suffix-tree algorithm, we study the repetition characteristic v(t), which has been introduced by F. Golcher, for different models of random symbolic sequences and compare it with the corresponding data obtained for natural-language texts and program codes. The character of v(t) function, the saturated repetition parameter v0 averaged at large enough times t and the appropriate standard deviation ∆v0 are examined for 144 natural, random and randomized texts of different types. The main peculiarities of repetitions peculiar for the Simon, Markov and Miller’s monkey textgenerating models are analyzed. The results obtained for these analytically tractable models can be useful for developing mathematical fundamentals of the repetition characteristic. |
URI: | http://repository.ldufk.edu.ua/handle/34606048/32325 |
Appears in Collections: | Наукові праці професорсько-викладацького складу ЛДУФК в базах даних Scopus, WoS, Tomson Reuters |
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File | Description | Size | Format | |
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Kusnir_Mostova_ELIT2021vt_proc-like_may 2021.pdf | 549.73 kB | Adobe PDF | View/Open |
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