Русские официальные документы домена “Здравоохранение” и оценка их лексической сложности с использованием ключевых слов

Translated title of the contribution: RUSSIAN OFFICIAL TEXTS OF THE «HEALTH CARE» DOMAIN AND ASSESSMENT OF THEIR LEXICAL COMPLEXITY USING KEYWORDS

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This article describes first findings of the study of Russian official documents
comprehensibility. The research material is the Corpus of Russian local documents and acts
«CorRIDA» (subcorpus of healthcare domain, consisting of 617107 tokens). The study aims to
identify lexical peculiarities of official documents using the method of extracting keywords, as well
as to evaluate the obtained keywords using their language frequency. Analyzing the key word forms
in the context of linguistic frequency, we proceeded from the idea that frequent items are easier to
understand. This idea is traditionally used for lexical complexity assessing
Translated title of the contributionRUSSIAN OFFICIAL TEXTS OF THE «HEALTH CARE» DOMAIN AND ASSESSMENT OF THEIR LEXICAL COMPLEXITY USING KEYWORDS
Original languageRussian
Title of host publicationТруды международной конференции «Корпусная лингвистика-2019»
EditorsВ.П. Захаров
Place of PublicationСанкт-Петербург
PublisherИздательство Санкт-Петербургского университета
Pages166-173
Number of pages8
StatePublished - 2019
EventКорпусная лингвистика - 2019: международная научная конференция - СПб., Russian Federation
Duration: 24 Jun 201928 Jun 2019
https://events.spbu.ru/events/corpora-2019

Conference

ConferenceКорпусная лингвистика - 2019: международная научная конференция
Abbreviated titlecorpora-2019
CountryRussian Federation
CityСПб.
Period24/06/1928/06/19
Internet address

Scopus subject areas

  • Arts and Humanities(all)

Keywords

  • Language complexity
  • lexical complexity
  • official documents
  • corpus of Russian documents
  • client-oriented texts
  • key word forms
  • target corpus
  • reference corpus
  • frequency

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