Computational linguistics and intelligent systems. – 2017 р.

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/39448

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Start date: 2017End date: 2017

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    Gamification: today and tomorrow
    (National Technical University «KhPI», 2017) Yukhno, Katherine; Chubar, Eugenia; National Aerospace University ―Kharkiv Aviation Institute
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    Search optimization and localization of the website of Department of Applied Linguistics
    (National Technical University «KhPI», 2017) Pidpruzhnikov, Vsevolod; Ilchenko, Margarita; National Aerospace University ―Kharkiv Aviation Institute
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    Analysis of existing German Corpora
    (National Technical University «KhPI», 2017) Olifenko, Inna; Borysova, Natalia
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    Use of linguistic criteria for estimating of wikipedia articles quality
    (National Technical University «KhPI», 2017) Kolesnik, Anastasiia; Khairova, Nina; National Technical University "Kharkiv Polytechnic Institute"
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    Intelligent data processing in creating targeted advertising
    (National Technical University «KhPI», 2017) Kirkin, Stanislav; Melnyk, Karina; National Technical University "Kharkiv Polytechnic Institute"
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    Development and computerization of an English term system in the fields of drilling and drilling rigs
    (National Technical University «KhPI», 2017) Hordienko, Herman; Ilchenko, Margarita; National Aerospace University ―Kharkiv Aviation Institute
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    Improving communication in enterprise solutions: challenges and opportunities
    (National Technical University «KhPI», 2017) Gorbachov, Vitaliy; Cherednichenko, Olga; National Technical University "Kharkiv Polytechnic Institute"
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    Statistical methods usage of descriptive statistics in corpus linguistic
    (National Technical University «KhPI», 2017) Didusov, Valeriy; Kochueva, Zoia; National Technical University "Kharkiv Polytechnic Institute"
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    Discursive units in scientific texts
    (National Technical University «KhPI», 2017) Verbinenko, Yulia; Ukrainian Lingua-Information Fund of NAS of Ukraine
    Discursive units are text elements that ensure its coherence, direct attention to the context, make text clear etc. Undeveloped theory of semantic description and its lexicographical representation complicates the description of the discursive units. There are also difficulties in dictionary definitions formulating, as discursive units are often very integrated into the context. Because of this, it is difficult to define system boundaries and build up the correct classification. The main criterion for merging of heterogeneous units into one class of discourse units is their joint function of regulation and organization of the communication process. It is impossible to classify discursive units only by grammatical (morphological and syntactic) features. In terms of morphology, these units are also difficult to combine into one class. In our opinion, it is functional feature that is the most relevant for determining discursive units in the text. Therefore, semantic-pragmatic characteristics are most relevant for the determination of the discursive units in the text.
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    Evaluation ofa formalized model for classification of emergency situations
    (National Technical University «KhPI», 2017) Titova, Vera; Gnatchuk, Ielizaveta; Khmelnitsky National University
    Formalization of conditions that characterize the problem of classification of emergency situations is considered in this paper.This formalization is the basis for the Formalized Model of the emergency situations classificationproblem. Intelligent methods are used to solve this problem. These methods are also the basis for the development of the Neural Network Model for emergency situation classification. In this paper wedevelop the structure of the model and determine the number of network layers, the types of neurons and its membership functions. Using the Neural Network Model as decision support for the dispatchers of emergency services makes it possible to improve the quality of emergency situations classification.