Development of a method for the recognition of author’s style in the Ukrainian language texts based on linguometry, stylemetry and glottochronology

Lytvyn, Vasyl; Vysotska, Victoria; Пукач, Петро; Bobyk, Іgor; Uhryn, Dmytro

doi:10.15587/1729-4061.2017.107512

Cited by 25 publications

(41 citation statements)

References 13 publications

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“…An experiment of distinguishing terms was carried out on 3 technical articles [1][2][3] (Tables 5, 6). The keywords in bold are those that occurred in the results of applying all the methods, the italicized keywords are only those obtained through the B-G methods, and the underlined keywords are those in the methods A and C-G.…”

Section: Discussion Of the Research Results On Identifying Stable Wormentioning

confidence: 99%

“…They are often used not for the acceptance/rejection of hypotheses but for the ranking of candidate word combinations. Table 5 The list of frequency index for stable word combinations in articles [1][2][3] No.…”

Section: Discussion Of the Research Results On Identifying Stable Wormentioning

confidence: 99%

“…In modern intellectual systems of linguistic nature, it is important to determine effectively stable word combinations for identifying a set of keywords while processing Web resources [1]. An optimally appropriate set of stable word combinations is used for information retrieval (IR), SEO and Web-mining technologies, natural language processing (NLP) and automatic machine translation.…”

Section: Introductionmentioning

confidence: 99%

“…Differences of other methods by ranking the frequency of occurrence of stable word combinations is articles [1][2][3] …”

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confidence: 99%

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Analysis of statistical methods for stable combinations determination of keywords identification

Lytvyn

Vysotska

Uhryn

et al. 2018

EEJET

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Section: Discussion Of the Research Results On Identifying Stable Wormentioning

confidence: 99%

Section: Discussion Of the Research Results On Identifying Stable Wormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Differences of other methods by ranking the frequency of occurrence of stable word combinations is articles [1][2][3] …”

mentioning

confidence: 99%

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Analysis of statistical methods for stable combinations determination of keywords identification

Lytvyn

Vysotska

Uhryn

et al. 2018

EEJET

Self Cite

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“…Formal ontology is a set of concepts and assertions about these concepts, on the basis of which the classes, objects, relations, functions and theories are constructed [28][29][30][31]. Most models of ontologies contain the following components: concepts (concepts, classes); properties of concepts (attributes, roles); relationship between concepts (dependence, function); additional constraints that are defined by axioms [32][33][34][35][36][37][38][39]. The role of the concept is a description of the task, function, action, strategy, process of reasoning, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Method of Data Expression From the Ukrainian Content Based on the Ontological Approach

Lytvyn

Vysotska

Hrendus

2018

Radio Electronics, Computer Science, Control

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Context. Nowadays there is a constantly increasing interest to the application of the intelligent systems (IS) in different areas such as information technologies (IT), engineering, medicine, biology, ecology, geography, jurisprudence etc. At the heart of architecture of modern IS's knowledge bases (KB) are used, which are formed due to the subject area (SA), where the given IS is used. The main part of KB is ontology as clearly structured SA's model, systematic set of terms, which explain the connections between objects of this SA. Ontologies are generally accepted and widely used in different branches of science such as knowledge engineering, presentation of knowledge, information search, knowledge management, database design, information modeling and object-oriented analysis. In particular, Gather company in their researches of IT-market attributed the use of taxonomy/ontology in his area. Consequently, research of syntactic ontological structures of KB, construction and research of optimal algorithm for syntactic analysis of Ukrainian language texts and the development of software-algorithmic means of content, automatic referencing of texts, gathering knowledge, translation etc. are relevant.Objective. The goal of the work develop a software system for formalizing the rules of syntax of the Ukrainian language in the form of an ontological basis of knowledge for the purpose of its use for working out natural language texts in the Ukrainian language.Method. Methods of solving the problem of creating a consolidated resource based on ontological KB were chosen decision trees, IDEF5 methodology and ontology construction methodology. The results of syntactic analysis work are taken into account by associative-semantic context analysis to optimize the process of constructing associative context relationships between words and sentence combinations within the hierarchical network of ontological BB.Results. A consolidated information resource is created -an ontological KB of parsing analysis of Ukrainian-language text documents with the help of Protégé 3.4.7.Conclusions. The method of data extraction based on ontological BZ and FPGA language is developed for the further development of a consolidated information resource for the syntactic elaboration of text documents. As a result, an ontological type of KB with FPSM was created. The syntactic structure of the input sentence is the foundation and frame for the next, not less important step -semantic analysis. This ontological KB of the consolidated LR of syntactic elaboration of Ukrainian-language text documents serves as a powerful basis for further development of an automated IS for parsing Ukrainian-language texts.

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The Nonparametric Method for Differentiation of Phonostatistical Structures of Authorial Style

Khomytska

Teslyuk

Kryvinska

et al. 2019

Procedia Computer Science

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Development of a method for the recognition of author’s style in the Ukrainian language texts based on linguometry, stylemetry and glottochronology

Cited by 25 publications

References 13 publications

Analysis of statistical methods for stable combinations determination of keywords identification

Analysis of statistical methods for stable combinations determination of keywords identification

Method of Data Expression From the Ukrainian Content Based on the Ontological Approach

The Nonparametric Method for Differentiation of Phonostatistical Structures of Authorial Style

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