<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="ru">
  <front xmlns:xlink="http://www.w3.org/1999/xlink">
    <journal-meta>
      <journal-id journal-id-type="elibrary">80301</journal-id>
      <journal-title-group>
        <journal-title>Terra Linguistica</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Terra Linguistica</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2782-5450</issn>
    </journal-meta>
    <article-meta xmlns:xlink="http://www.w3.org/1999/xlink">
      <article-id pub-id-type="publisher-id">1</article-id>
      <article-id pub-id-type="doi">10.18721/JHSS.15301</article-id>
      <title-group>
        <article-title>Automated text simplification in the field of inclusive social addressing</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Дигитальная симплификация текстов в сфере инклюзивной социальной адресации</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Burmakina</surname>
            <given-names>Natalia</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>nburmakina@mail.ru</email>
        </contrib>
      </contrib-group>
      <aff id="aff1">Siberian Federal University,</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-09-30">
        <day>30</day>
        <month>09</month>
        <year>2024</year>
      </pub-date>
      <volume>15</volume>
      <issue>3</issue>
      <fpage>7</fpage>
      <lpage>14</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://human.spbstu.ru/userfiles/files/articles/2024/3/7-14.pdf"/>
      <abstract xml:lang="en">
        <p>The article substantiates the relevance of simplifying texts to improve the effectiveness of written communication with people with mental deficits. The task is to consider the possibilities of automatic text simplification tools. The results of automatic text simplification via ChatGPT and neuro-texter.ru are analyzed. The methods of discursive analysis of the text, the comparative method, the method of quantitative assessment of linguistic indicators are used. Quantitative indicators of adapted texts, the complexity of syntactic structures, graphic design and distortions of the content are considered. Conclusions are drawn about the insufficiency of automatic simplification of written texts for the clinical context. Adapted texts contain complex syntactic structures and unreasonable lexical substitutions. The quantitative characteristics of the adapted texts do not meet the requirements of easy language.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>easy language</kwd>
        <kwd>text simplification</kwd>
        <kwd>social inclusion</kwd>
        <kwd>readability</kwd>
        <kwd>text adaptation</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
